Building is one of the most consuming sector with 5 MWh per person per year. Building energy efficiency is already addressed by countries policies but is still a topic of research. In our paper, we are addressing a new way of improving energy consumption in building, based on Internet of Things (IoT). IoT is synonymous of increase of the amount and accessibility of measurements. How is this impressive growth possible? How to use these new data to reduce building energy consumption and bring new energy performance services? IoT technologies are analysed and future tendencies are proposed. Our analysis is illustrated on the experience acquired within 2 smart building research and teaching platforms, one in Grenoble France, and the other in Hanoi, Vietnam. These research platform aim at improving energy efficiency and sobriety, and prepare building to energy grid services.
The most energy in buildings is used for space cooling and heating. Thus, the thermal analysis is necessary to reach thermal comfort and energy efficiency in buildings. In this paper, we present a thermal envelope modeling based on thermalelectrical analogy for thermal behavior simulation. The research object is a real platform inside our laboratory building in France. To illustrate this study, two thermal zone model represent two room of this platform, and they are surrounded by another thermal zones of laboratory building. Their parameters have been identified from envelope properties. Then, these models are implemented in a simple equivalent electric circuit, simulated and validated with measurement data.
Vietnam is considered a country with high solar potential and solar irradiation is comparable to most countries in the region. However, high density solar project in areas causes overload state of transmission grid system and some plants wouldn’t operate at full design capacity. Therefore, roof-top solar PV projects in provinces and cities, which have large potential of solar irradiation, are promoted to reduce pressure on power supply. Besides, rooftop solar would be also affordable for home and business owners and communities by helping households halve electricity bills and gain energy efficiency. In this paper, we investigate case study of a residential building in HCM city, Vietnam for analysing impacts of roof-top solar photovoltaic modules on energy performance. The results showed not only the potential photovoltaic power, but also the reduction of roof heat transfer. In consequence, the building cooling load and total energy consumption are significantly reduced thanks to Roof-top PV installation. On the other hand, the reduction of solar incident on the building roof keeps cooling roof surface (outer and inner) and improves thermal comfort of attic space. Our research objective is to quantify indirect benefit of Roof-top PV on energy efficiency and to provide ideas for further researches.
PurposeIn many countries, innovation in building design for improving energy performance, reducing CO2 emissions and minimizing life cycle cost has received much attention for sustainable development. This paper investigates the importance of optimization tools for enhancing the design performance in the early stages of Vietnam's cooling-dominated buildings in hot and humid climates using an integrated building design approach.Design/methodology/approachThe methodology of this study exploits the non-dominated sorting genetic algorithm (NSGA-II) optimization algorithm coupled with building simulation to research a trade-off between the optimization of investment cost and energy consumption. Our approach focuses on the whole optimization problem of thermal envelope, glazing and energy systems from preliminary design phases. The methodology is then tested for a case study of a non-residential building located in Hanoi.FindingsThe results show a considerable improvement in design performance by our method compared to current building design. The optimal solutions present the trade-off between energy consumption and capital cost in the form of a Pareto front. This helps architects, engineers and investors make important decisions in the early design stages with a large view of impacts of all factors on energy performance and cost.Originality/valueThis is one of the original research to study integrated building design applying the simulation-based genetic optimization algorithm for cooling-dominated buildings in Vietnam. The case study in this article is for a non-residential building in the north of Vietnam but the methodology can also be applied to residential buildings and other regions.
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