When, in 1964, Bernard Rudofsky finally opened the exhibition Architecture without Architects: A Short Introduction to Non-Pedigreed Architecture at the Museum of Modern Art in New York, he caused quite a stir. The catalogue started a new chapter in modern architecture based on photos and commentary of vernacular construction (that is, knowledge passed on from generation to generation). He took a bucolic position, of admiration for vernacular patterns, but without sufficient attention to the essence of this architecture, its causes and identity. A bit earlier, in 1957, Sibyl Moholy-Nagy, an American critic of German origin, had attempted such a reflection but her book had never received such reverberation. In Native Genius in Anonymous Architecture she explored the relationship between rural architecture and the environment, indicating solutions from which one can learn to better design in a specific climate, based on local materials and respecting identity. This text should be considered pioneering in the context of environmental protection and architecture. In the introduction to the second chapter, Climate and Place, she begins by showing the dichotomy of the approaches to Earth of the pioneers who arrived in New England and the indigenous people. The pioneers used to ask: What can my land do for me? Reflecting on the profit that land property could bring them. The robber attitude is confronted with the question of the indigenous people who ask the question: What can I do for my land? This chapter explains the relation between architecture and climate on the example of windows, and how they were shaped by indigenous people.

Moholy-Nagy shows architecture in harmony with the environment, using natural materials, trying to build at least sustainable relations with the environment for the sake of the common good.

In Portugal, under a decree issued by Antonio Salazar, a longtime dictator, the young generation of modernizing architects set off in the 1950s on a journey in search of ‘the Portuguese national architecture prototype’. They knew from the very beginning that there was no such thing, but that there were regional archetypes of architecture. The very detailed study showed the diversity and richness of spatial solutions, material construction, the relationship between soil, crops, vegetation and building materials, architectural form and climate, becoming the basis for the success of contemporary Portuguese architecture. The most important projects and architects (Souto de Moura, Távora, Siza, de Amaral) are rooted in regional architecture. Sometimes too literally, copying solutions, sometimes learning. Their approach has not yet received a comprehensive analysis that would verify its real impact on humans and the environment. The question arises: when do comfort and safety bring unnecessary luxuries that negatively affect the environment.

So, how to follow? Should we copy? Definitely not. Architecture is a mirror of society, its thoughts, ways of life, and social relations. After all, none of us, no matter if we live in the countryside or in the city, no matter if in Portugal or Cambodia, lives in the same way as several decades ago. We cannot go back literally to the architectural patterns of the past. It was Lewis Mumford who wrote about it decades ago in The South in Architecture:

If someone tries to recreate that (historical) architecture today, every element of it will be evidence of forgery (…) after all, we cannot copy the life of (others) from the past.

Nevertheless, careless attempts to copy lead to the creation of architectural pastiches or decorative facades for example. The chance becomes a farce, and it is also not very funny. What’s more, to make it more difficult in rural construction, we can expect traps. The native architecture, created in a certain location, was subject to a complementary tendency: evolution and diffusionism. And it does not always respond to local conditions. These two phenomena, described by Claude Lévi-Strauss in Structural Anthropology, show how a certain pattern (like chimney type and height) of culture evolves and at the same time borrows from its neighbours or allies. And it also reminds us that there is no “pure” pattern that was created without contact with others. Such a process was described in the ’90 by Susanne Roaf based on the windcatchers of Yazd in Iran. The measurements showed that their various shapes and forms, widespread in the Middle East were created to ensure thermal comfort, based on changes in temperature and humidity in different climatic conditions. However, some of the patterns (shapes, sizes, heights, etc) travelled with the inhabitants or invaders, disregarding the climate and its correct operation — it was, for example, an element of identity or fashion. Moreover, such a pattern might have a negative effect. Therefore, when using vernacular patterns, one should look at them critically and check whether they are really responding to the climate. This can be done with the help of on-site measurements, tests or computer simulations, which show whether a given solution actually improves ventilation in the building or provides better lighting. Knowledge on this subject is just emerging and we in Dosta Tec are working on that too.

The application of vernacular solutions by imitating good practices, forms of space organization, massing(shape and type of roof, proportions), and passive solutions can be effective tools in the fight against global overheating. We can imagine, for example, a 5-storey residential building in Porto with a steep roof and large arcades that protect residents sitting on the mezzanine from rain, or a large patio that allows for better ventilation on hot days. However, for any such solution to actually work, it must be tested, not only from the point of view of energy efficiency or ventilation but other elements that testify to the efficiency of the building in a given context. Perhaps it is worth returning to the idea of ​​critical regionalism?

Adrian Krężlik

co-founder of Dosta Tec

If an engineer wants to model a building to solve problems in the energy realm, there is not a single, unique way to go about it. There are many methods to choose from to predict a building’s energetic performance. The most important aspect of this practice is typically thermal characterisation. Indoor well being and comfort depend, for the most part, on what goes on with indoor spaces thermally. But the virtually infinite combination of location, orientation, shape, window-opening patterns, materials and other variables makes this characterisation complex.

But what is an engineer really doing when they characterise a building thermally? In very simple terms, they are calculating a building’s thermal inertia. This physical concept is defined as the “capacity of a material to store heat and to delay its transmission” [1]. In the field of buildings, it defines the rate and readiness with which a building’s thermal mass cools or heats itself. For example, a thick stone wall has high inertia: it stores heat energy when exposed to direct sun and releases it during hours after the sun sets.

Normally, the key associated physical properties are:

● Heat Capacity “C”: how much energy a building can store per unit of temperature difference — the “store heat” part of the definition above.

● Heat Transfer Coefficient “HTC”: the speed at which heat exits a building when it’s colder outdoors (and the opposite flow) — the “delay its transmission” part.

Initially, one could believe that having great knowledge of the materials that a building is made of could be enough to predict how heat enters and leaves the indoor spaces along a day, week or year. This is true for simple buildings. Think of a simple house in Alentejo: it could be practically a shoebox made of adobe and ceramic roof-tiles, with a single glass window and wooden door. The thermal values of adobe, ceramic, glass, and wood are readily available. An engineer would just compile these into the simple design, account for some air-loss rate since no construction is nor should be air-tight (e.g. airflow between the door and the doorframe), and the physical model of the building could be done with fairly accurate results. The method used in this shoebox case is an example of what is known as a “white-box” modelling method. Meaning we know everything we need to know about the physics of the building’s components and develop our model forward from there.

Now think of an old, 2-storey house Porto’s Baixa neighbourhood with asymmetric design, a renovated kitchen, big sliding glass doors to the back garden, and irregular window-opening patterns (carried out by the occupants). The number of different materials and internal gains result in irregular heat flows that make predicting its thermal behaviour from scratch a big challenge. This is where other methods come in, other than pure white-box. For instance: real, historical measured data may be used to understand how the building behaves along the year, and how this affects indoor temperature and thus occupant’s wellbeing. With enough time and resources, this data can be compiled and a predictive model may be developed. This is called a “black-box” model. The result: we do not understand why, but we know very accurately what temperatures we can expect in each indoor space. But you might have already thought of the main issue: engineers don’t usually have enough time and resources to put this work into a simple family house.

However, measured data over short periods of time (e.g. a week) may be combined with a good understanding of the physics of the construction to reach a midpoint in which a model is based on both some empirical data and some physical aspects of the building, mediated by simplified but accurate equations. The name of these methods is naturally “grey-box”. These innovative methods have lately been proven to be quite powerful, and more importantly, to serve engineers’ and human occupants’ needs. Take a look at the graph below. It shows the results of a case study conducted by Hollick et al[2]., where the measured temperature of a room (black line) was compared against the results of 2 grey-box models (dotted blue and red lines). For most applications, it’s safe to say the results are excellent.

But technology use in modelling doesn’t stop at these grey-box models. Neural networks are being used by engineers to model even more accurately the dynamic nature of a building’s heat flows, and are showing promising results for widespread application[3]. We might soon be seeing a Portuguese rammed-earth, rural, single-family house being modelled on an adaptive neural network model.

Mateo Barbero

Co-founder

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[1] J. Sala-Lizarraga, Exergy analysis and thermoeconomics of buildings, 1st ed. Waltham: Elsevier, 2019.

[2] F. P. Hollick, V. Gori, and C. A. Elwell, ‘Thermal performance of occupied homes: A dynamic grey-box method accounting for solar gains’, Energy Build., vol. 208, Feb. 2020

[3]R. Baccoli, L. Di Pilla, A. Frattolillo, C.C. Mastino, An Adaptive Neural Network model for thermal characterization of building components, Energy Procedia, Volume 140, 2017.

-If we start building only from wood we will cut down all the forests and nothing will be left? That’s why you have to build with concrete … or plastic.

Such statements are often said by (unaware) professionals during meetings, lectures or workshops that I lead. They expose a big knowledge shortfall regarding materials’ environmental impact, though there are multiple aspects to be tackled to avoid unnecessary reductionisms. First off, timber is a renewable source and concrete and plastic are not. Secondly, the question departs from the idea of constant growth, the concept of the contemporary world and the major economies. Indeed, if we are constantly looking for more and more, even timber buildings, or any other ‘eco-material’, will not eliminate the negative impact of construction on the environment. Society operates within the planetary boundaries and the environmental capacity. Exceeding them to have more or to build more has led us to a catastrophe that is on the horizon.

Following the principles of degrowth, before a project is born, two questions must be answered ‘where?’ and ‘what for?’ we are building. Only then ‘how?’. Only thena designer should answer the question ‘what to build from?’. Giulia Sonetti, from the Polytechnic University of Turin, says that the best energy is the energy that we do not consume. Degrowth is a reminder to use materials responsibly and where needed. Does your community need another mall? What is the purpose of the next science and technology park or organic nutrition research centre? Empty buildings are just expensive scenery in the city, with no inhabitants and no purpose from the very beginning they cannot be sustainable.

Energy may be grey

The energy that an energy-efficient building consumes throughout its life is mostly used for its operation. In low-energy buildings it is as much as 60% [1]. The remaining 40% is energy that is needed to obtain the elements of a building, including materials for floors and ceilings, lamps, ventilation system, slab on the terrace, and handrails. And it is important to ponder about this forty percent. Forty percent that is often forgotten. Embodied energy is energy, sometimes called grey, consumed in processes related to the production, transport and delivery of products to the consumer. This approach brings us to the idea of Life Cycle Assessment.

In the life cycle of a material, we can distinguish four stages:

1. Raw material preparation. Extraction from the ground (inorganic materials) or harvesting (organic materials), cleaning, melting or other preparations. The energy cost of this phase also includes the transport of raw materials from the place of origin to the place of production.
2. Production. When raw materials are processed into products (windows, tiles or door handles). The energy costs of a project should also account for packaging and further transport to the user.
3. Operation. If the product needs energy (e.g. a radiator or lamp uses energy in order to function)
4. Disposal. Composting or further life. This stage involves preparing the material for further life, disassembling it into parts, and processing it.

The sum of these energies corresponds to the whole life cycle of the building. By adding up the amount of energy that a building consumes during its operation and its grey energy, we can evaluate to find the best energy strategy. The simplest way to reduce the total consumption of grey energy is to build durable and to treat each element with attention.

Reusing, recycling, upcycling.

According to scientists from Stanford University [2], reusing building materials saves up to 95% of grey energy that would otherwise be wasted. However, some materials such as brick, tile, and cladding stone can be damaged during demolition and it may be difficult or impossible to use them in a new context. Depending on the material, reusing it can bring various savings (this is mainly due to the processing process), In the case of aluminium it can reach as much as 95% and in the case of glass 20%. Moreover, some processes may use more energy than new materials, especially when transporting over long distances.

The most complex topic is upcycling, which seeks to preserve the value of a material. Again, depending on the material, such a process may or may not be expensive in terms of energy. In a typical situation, the glazing remains glazing, and the handrail is a handrail because the amount of energy needed to produce such an element for operation is so high that its function should not be changed. From an energy perspective, this process appears to be the most efficient as we do not alter the properties of the materials. This topic is also related to the concept of Buildings as Material Banks, where all the buildings and their elements are seen as repositories for future buildings. Where all buildings are designed for disassembly.

To maximize the positive impact of a building on the environment, it is crucial to assess the amount of energy it consumes over its whole life cycle, from sourcing materials through functioning to the next life of materials. Knowing the relationship between how a building works, consuming 60% of energy, and where it comes from, we can plan and design more responsibly.

—

Adrian Krężlik

co-founder

[1] Thormark C., “A low energy building in a life cycle — its embodied energy, energy need for operation and recycling potential”, Building and Environment, vol. 37, no. 4, (Apr. 2002), pp. 429–435. https://doi.org/10.1016/S0360-1323(01)00033-6

[2]https://lbre.stanford.edu/pssistanford-recycling/frequently-asked-questions/frequently-asked-questions-benefits-recycling

nZEB: nearly Zero Energy Building in the European Union is a vague concept defined by the Energy Performance of Buildings Directive 2010/31/EU (EPBD). It requires all new buildings from 2021 to meet the nZEB thresholds and ranges and is currently being translated across European countries to local conditions in different ways. The EU is a collection of regions of diverse climates, building cultures, and ways of living, therefore it is impossible to impose a universal model limiting the use of energy in buildings. On one hand, it makes the concept vague, and on the other, it puts a lot of trust in local legislation and knowledge.

Portugal has a privileged climatic condition, with mild winters and warm summers, and prolonged heat waves (primarily in Alentejo), which imply a relatively low energy consumption for heating. At the same time, most of the population inhabits the coastal areas which bring a refreshing breeze in the hottest months. Such advantageous geographic characteristics should be seen as an asset in defining a transparent and ambitious model of nZEB. Hereby we are going to present some observations on how Portuguese nZEB regulations could be updated to include embodied energy, life cycle assessment and on-site energy production. We believe that a better scheme could be achieved — one that contributes to the electrical grid.

The life cycle of a building should be divided into four parts: (A) sourcing and production, construction and assembly, (B) operation, and disassembly, and (D) demolition. A robust nZEB model should include energy consumption limits for each stage of a building lifecycle. Studies on energy use in buildings estimate that the most energy-consuming stage is (B) operation. No doubt, it is typically the longest. Design for full Life Cycle energy-efficiency is a relatively new topic.

Sourcing and production, the first stage of a building’s life cycle, are directly related to the materials and industrial processes used to build, for instance, a beam or a window. It also includes the energy needed for transportation of any building component from the manufacturer to the construction site.

The construction itself is a relatively short process taking into consideration the lifespan of a building. It typically takes from half a year, for a small investment, up to 5–10 years for a large scale public project. Therefore, the energy consumed during the construction process is relatively marginal, some studies [1] show that it is less than 1% of the total.

Recent studies [1] in the United Kingdom showed that up to 85% of energy is consumed while operating, mostly for heating, cooling and ventilation. In Portugal this number is typically lower, reaching 10–15% [2], although some studies show it could be relatively lower [3]. At the same time, energy-efficient building solutions are more popular in northern Europe, such as Passive Housing, which might reduce the operation to 60% of the total life cycle energy use [4]. This solution, however, requires more energy for the other phases. A relatively larger amount of energy is thus embodied in sourcing and production of the materials, than in traditional constructions. Further activities looking for an energy-efficient building must include embodied energy, and the environmental impact of production and installation of complex HVAC systems, materials used for shell, core and interiors.

Additionally, following the New Circular Economy Strategy of the EU, all endeavours must look for solutions according to the closed-loop cycle. Therefore energy needed for disassembly, deconstruction or repurposing of building elements must be taken into consideration while evaluating energy consumption in the building life-cycle.

The European Green Deal and Renovation Wave directives pay a lot of attention to the issue of energy-efficient buildings within the energy transformation. For regulations to be effective in helping solve the long-term climate problem, they must not only be feasible and consider specific local conditions, but they must also include a robust vision of the energy implications of buildings throughout their whole existence.

–
Adrian Krężlik
co-founder

[1] Oliveira S. et al., Energy modelling in architecture: A practice guide, 1sted. RIBA Publishing, 2020. Available: https://www.taylorfrancis.com/books/9781000033830 https://doi.org/10.4324/9781003021483

[2] Pacheco-Torgal F. et al., “Embodied Energy versus Operational Energy. Showing the Shortcomings of the Energy Performance Building Directive (EPBD)”, Materials Science Forum, vol. 730–732, (Nov. 2012), pp. 587–591. https://doi.org/10.4028/www.scientific.net/MSF.730-732.587

[3] Mourão J. et al., “Combining embodied and operational energy in buildings refurbishment assessment”, Energy and Buildings, vol. 197, (Aug. 2019), pp. 34–46. https://doi.org/10.1016/j.enbuild.2019.05.033

[4] Thormark C., “A low energy building in a life cycle — its embodied energy, energy need for operation and recycling potential”, Building and Environment, vol. 37, no. 4, (Apr. 2002), pp. 429–435. https://doi.org/10.1016/S0360-1323(01)00033-6

Data-Driven Decision-Making (DDDM) is a crucial part of doing business. What started as a niche practice has developed into an everyday practice for leading organisations in virtually every industry, with proven capacity to capture value[1]. It is used for operational, structured decision-making as well as strategic, unstructured decision-making. But what is it, and how does it fit into Building Engineering and Design?

By growing levels of maturity, the decision-making analytics process may be understood as shown in the image below. As the analytical models grow in complexity, so does its potential for capturing new value. This happens as decisions are progressively based more on true insights, and less on the intuition of the decision-maker. Simulation tools may be applied anywhere from Diagnostic to Prescriptive analytics, depending on the complexity of the model. Measurement is the most primitive form of analytics, simulation provides knowledge of higher value, and optimisation searches for the best possible combination of all decision variables.

In the field of building engineering, not all knowledge is technical. There is significant popular knowledge that may be sourced and combined with optimal engineering practices. That is, coexistence of intuition with analysis. This is essential for the development of urban areas — the best of each field may be sourced to build energy-efficient buildings that stay in harmony with existing practices. This is where simulation tools come into the scene: inclusion of analytical thinking into early stages of the design process provides a wide array of alternatives that may be otherwise invisible to the designers and engineers, and too costly to consider in late stages of construction. Some applications:

• Comparing of (traditional and Innovative) insulation materials for a façade renovation
• Analysing photovoltaic potential of a site and convenience of solar panels
• Studying the effect of possible future buildings surrounding the designer’s site
• Understanding the effect of current and future climate on the thermal comfort of a building

Simulation models have proven positive effects on the design process. They may be used to reduce energy intensity of a building (energy use per square meter), increase positive environmental impact, increase thermal comfort, optimise lighting of spaces — applications are endless. Once validated with reality, their potential is most significant, as scenarios and variables may be tested with relatively low computational costs and known uncertainty levels. For instance, sensitivity of indoor human wellbeing to weather events has been tested in Southern Europe by using multiple weather profiles and analysing the effect of each simulation run on thermal comfort, keeping all other parameters constant[2].

At Dosta Tec, we believe in a collaborative model between engineers and designers. This is one of the keys to evolve the built environment into a clean, healthy, and energy-efficient version of itself that integrates into the urban landscape.

Mateo Barbero

co-founder

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[1] Orlando Troisi, Gennaro Maione, Mara Grimaldi, Francesca Loia, “Growth hacking: Insights on data-driven decision-making from three firms”, Industrial Marketing Management, Volume 90 (2020) 10.1016/j.indmarman.2019.08.005

[2] A. Curado, V.P. de Freitas, “Influence of thermal insulation of facades on the performance of retrofitted social housing buildings in Southern European countries”, Sustainable Cities and Society, Volume 48 (2019) https://doi.org/10.1016/j.scs.2019.101534

Occupation schedules inform designers (architects and engineers) on the way of living and working of inhabitants. Such schedules are developed based on questionnaires and give a general idea of when a house is occupied, and, at the same time, for which period thermal or visual analysis should be performed. A detailed survey allows cutting energy expenses and can influence building design. It is possible that in the hottest months a house is not occupied since the entire family is on holidays and there is no need to design ventilation for temperature peaks in August.

Prepandemic domestic space had a certain mode of occupation in Portugal that has changed. A study by a team of scientists from the University of Minho [1] shows that during weekdays, inhabitants tend to leave their houses between 8 and 9 AM when the occupation drops from 80% to 15%. Occupancy has a small peak around lunchtime, reaching about 20%. Inhabitants used to return to their homes between 5 and 9 PM. The early afternoon hours are spent between the living room and kitchen, while the morning hours in the bedroom. The weekends and holidays paint a different picture. Most people stay at home until early afternoon, mostly in their bedrooms or living rooms. They usually get back to their houses around 5 PM and spend most of the time in the living room.

This kind of occupancy is most likely the past. The pandemic of SARS-Cov-2 that began in 2020 brought significant changes in the way that we work. The home office, in Portugal known as teletrabalho, has become a new model of work. Thousands of firms, organizations, and public administration have shifted to work remotely in virtual spaces. Livingrooms and kitchens equipped with new desks and table lamps have become temporary (?) working spaces. Such modality of work has already been exercised for several years, mostly by young companies, especially in the field of IT. And it most likely is going to stay with us for a longer period of time. The lease for large office spaces is typically a long-term contract, which is why we are still seeing many of these places under the label of large companies. But as soon as the leases finish these spaces are most likely going to get empty. Companies are already announcing to their employees that there is no coming back to full-time work at the office — it would be a hybrid between the home office and a traditional one. According to a survey by Hays Portugal from 2020, most employees (+90%) are in favour of such a solution, since they are looking for the flexibility of working hours and can save their commuting time. Occupancy schedules need to be revised with a clear division of work and leisure areas. At the same time, space design and performance need to be adjusted. Houses have not been thought for office work — for the last seventy years, they simply have been becoming more comfortable and cosy. On the other hand, extensive research has been done in the field of ergonomy of workspace, adequate daylight, air quality, and thermal comfort, all of which boost productivity and ensure the well-being of the workers.

Future occupancy schedules focus not only on the formal flexibility of space but also on thermal and visual ones. The pandemic occupancy schedules in the times of lockdowns have not been analyzed yet, although we know that shared spaces of the house become offices and the private ones keep their original function. From the point of view of thermal and visual comfort, that was the best solution since the operational temperature and amount of daylight in a living room and in the office space are the closest.

On the 25th of March, the Portuguese government approved the law (Decreto-Lei 79-A/2020) that encourages the home office until the end of 2021. This is one of the first far-reaching signals that might trigger significant changes in the way we design domestic spaces.

We, at Dosta Tec, analyze occupation in close relation with actual space use and propose solutions for building performance to ensure thermal and visual comfort and at the same time enhance energy efficiency. Flexibility and modularity, both in space and energy design, takes into consideration the future use of the building and possible change of a function.

Adrian Krężlik

co-founder

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[1] BARBOSA J. A. et al., “Occupancy Patterns and Building Performance — Developing occupancy patterns for Portuguese residential buildings.”, (2016).

Image credits: Jeremy Levine, Attribution 2.0 Generic (CC BY 2.0)

As we’ve mentioned in our first article, our services are adapted to the changing climate. Building regulations and techniques are still based on observed climate data, but at Dosta Tec we aim at being frontrunners looking into the future. Lisbon and Porto are the two centres of the largest metropolitan areas in Portugal, concentrating almost half of the population of the country. Most of the building stock in these areas dates from before the 1990s (when thermal insulation for walls and double glazed windows were introduced) [1] and is not prepared for the current and future climate. Additionally, it does not reply to current thermal comfort standards or energy efficiency requirements.

The average observed (1971–2000) temperature in January in Porto was 7.6°C, but according to the RCP 8.5 scenario [more here] would be 1.7 °C higher in 30–50 years. This means much warmer and milder winters. In August the average observed temperature oscillates around 21.1 °C, while in 30–50 years it would rise to 23.9°C. At the same time, the amount of extreme heat days is likely to grow. Lisbon in January saw an average temperature as low as 9.3°C, but in 30–50 years, it would rise to 11.2°C. In August the average observed temperature was 23.3°C and would rise to 25.4°C. Also, the average maximum temperature would stay above 30°C during the summer months, posing a big challenge regarding the cooling of buildings

The northern regions would receive more rain in the winter period, though accumulated in a shorter period of time, while the south would receive even less rain in the summer which may cause additional feedback loops in the local temperature growth. The sky overcast, humidity, and consequently the global radiation hardly change, which guarantee the continued use of solar energy. Portugal has the opportunity to grow vastly in this area and catch up with its European neighbours. The number of windy days grows (by about 10 days a year) which suggests reviewing the use of wind energy.

Generally, almost the entire territory of continental Portugal would enjoy a dry-summer subtropical climate, today native to the southern part of the country, with hotter summers and milder winter, though with more often temperature extreme events.

Fortunately, both cities enjoy the proximity to the ocean and large inland water bodies which regulates the temperature amplitude. For further inland locations, also within the metropolitan area, temperatures tend to vary more, with higher extremes. We should also consider the effect of rising sea levels.

The question that arises here is how to design for future energy efficiency — how much insulation does a new construction need and how to renovate the existing building stock for a warmer climate. How to benefit from renewable energies to design energy-positive buildings? We, at Dosta Tec, are developing strategies that consider these changes to create buildings that change with climate. By means of computational tools, we simulate building behaviour in the future climate.

Adrian Krężlik

Co-founder of Dosta Tec

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[1] Edifícios segundo os Censos: total e por época de construção, INE, PORDATA, 2013

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The climate data are based on information by Instituto Português do Mar e da Atmosfera in the frame of project Adaptation to Climate Change and Portal do Clima, http://portaldoclima.pt/

Anthropogenic climate change can be observed every day — hotter and drier summers, frequent floods and milder winters are some of the most visible effects. Even the most ambitious attempts would not reverse the climate to pre-industrial levels. An all-European endeavour to meet the indications of the Paris Agreement would lead to one of the climate change scenarios, known as a Representative Concentration Pathway (RCP). An intermediate scenario, known as RCP4.5, is characterised by a peak of greenhouse gas emissions around 2040 and it leads to an average global temperature rise of between 2°C and 3°C. The most pessimistic scenario, RCP 8.5, simulates continuous emission growth and, in consequence, a rise in an average temperature as high as 12.6°C.