scholarly journals Electricity demand flexibility potential of optimal building retrofit solutions

2021 ◽  
Vol 2042 (1) ◽  
pp. 012149
Author(s):  
Emmanouil Thrampoulidis ◽  
Kristina Orehounig ◽  
Gabriela Hug

Abstract Swiss buildings, the majority of which will last beyond 2050, are responsible for a large share of energy demand and greenhouse gas emissions. Hence, building retrofit is considered as one of the most promising approaches to reduce those shares. However, reducing the energy load should not be an end in itself. The continuous integration of intermittent power sources in the electricity grid imposes new challenges to the supply-demand problem that might directly affect the retrofit process and vice-versa. Therefore, this paper aims to develop a model to analyze the demand flexibility potential of optimal retrofit solutions. Co-simulation and a rolling horizon approach are used to derive upper and lower electricity consumption profiles given some temperature comfort bands. Within those electricity bands, the feasible area provides insights on the extent by which the electricity consumption can be shifted within the comfort constraints. The method is applied to a building archetype. Results show that when the comfort constraints are relaxed the feasible area increases, e.g., up to five times for the case of enhancing the roof insulation, while building retrofit influences the electricity bands. Such a method could enhance the retrofit process and address both the emissions’ and the supply-demand balancing problem.

2018 ◽  
Vol 173 ◽  
pp. 443-460 ◽  
Author(s):  
Claudio Nägeli ◽  
Clara Camarasa ◽  
Martin Jakob ◽  
Giacomo Catenazzi ◽  
York Ostermeyer

Energies ◽  
2020 ◽  
Vol 13 (11) ◽  
pp. 2753
Author(s):  
Rok Gomilšek ◽  
Lidija Čuček ◽  
Marko Homšak ◽  
Raymond R. Tan ◽  
Zdravko Kravanja

The production of primary aluminum is an energy-intensive industry which produces large amounts of direct and indirect greenhouse gas emissions, especially from electricity consumption. Carbon Emissions Constrained Energy Planning proved to be an efficient tool for reducing energy-related greenhouse gas emissions. This study focuses on energy planning constrained by CO2 emissions and determines the required amount of CO2 emissions from electricity sources in order to meet specified CO2 emission benchmark. The study is demonstrated on and applied to specific aluminum products, aluminum slugs and aluminum evaporator panels. Three different approaches of energy planning are considered: (i) an insight-based, graphical targeting approach, (ii) an algebraic targeting approach of cascade analysis, and (iii) an optimization-based approach, using a transportation model. The results of the three approaches show that approximately 2.15 MWh of fossil energy source should be replaced with a zero-carbon or 2.22 MWh with a low-carbon energy source to satisfy the benchmark of CO2 emissions to produce 1 t of aluminum slug; however, this substitution results in higher costs. This study is the first of its kind demonstrated on and applied to specific aluminum products, and represents a step forward in the development of more sustainable practices in this field.


2020 ◽  
Vol 22 ◽  
pp. 138-146 ◽  
Author(s):  
Anaëlle Rabès ◽  
Louise Seconda ◽  
Brigitte Langevin ◽  
Benjamin Allès ◽  
Mathilde Touvier ◽  
...  

2016 ◽  
Vol 43 (2) ◽  
pp. 140-147 ◽  
Author(s):  
XIAODONG CHEN ◽  
JENNIFER DE LA ROSA ◽  
M. NILS PETERSON ◽  
YING ZHONG ◽  
CHUNTIAN LU

SUMMARYHousehold consumption is a major contributor to global greenhouse gas emissions. Some behaviours (for example energy use and vehicle use) may have far larger impacts than others (for example green consumerism of household products). Here, the driving forces of green consumerism and two domestic energy uses (electricity consumption and vehicle fuel use) are compared. This study found that environmental attitudes predicted green consumerism, but not electricity consumption or vehicle fuel use. Furthermore, green consumerism was correlated with income and individual level demographic factors, while energy consumption was primarily predicted by household size and structural constraints. Because household energy consumption has greater environmental impacts than green consumerism, policies that aim to improve pro-environmental attitudes may not be effective in mitigating greenhouse gas emissions. Policies should rather aim to change structural constraints influencing transportation and household energy decisions and improve the conspicuousness of household energy consumption.


2017 ◽  
Vol 152 ◽  
pp. 67-79 ◽  
Author(s):  
Christiane Peter ◽  
Xenia Specka ◽  
Joachim Aurbacher ◽  
Peter Kornatz ◽  
Christiane Herrmann ◽  
...  

2009 ◽  
Vol 20 (4) ◽  
pp. 533-551 ◽  
Author(s):  
R Saidur ◽  
MA Sattar ◽  
H.H. Masjuki ◽  
M.Y. Jamaluddin

This paper presents an analysis of the greenhouse gas (GHG) emissions from refrigeration equipment. The refrigeration equipments use refrigerants such as chlorofluorocarbons (CFCs) and hydrofluorocarbons HFCs, which are believed to contribute the ozone depletion and global warming. Refrigeration equipment thus contributes indirectly through emission due to electricity consumption and directly due to the emission of refrigerants. Greenhouse gas emissions resulting from the burning of fossil fuels are quantified and presented in this paper. The calculation was carried out based on emissions per unit electricity generated and the type of fuel used. The direct emission of refrigerant was calculated based on emission factor and according to the procedure of Environmental Protection Agency (EPA), USA. A study was conducted to evaluate the refrigerant losses to the atmosphere and the CO2 emission from fossil fuels to generate power to run the refrigeration and air-conditioning systems. In this paper, total appliance annual energy consumption by refrigerator-freezer and air conditioner as well as emission has been estimated for a period of 19 years (1997–2015) using the survey data. Energy savings and emission reductions achievable by raising thermostat set point temperature have been calculated for a period of 10 (i.e. 2005–2015) years.


2021 ◽  
Author(s):  
Patrick Ritsma

Building energy models are an effective tool for evaluating energy reduction opportunities in both design phase and post-occupancy scenarios. By merging building energy models with city scale building stock data, it is possible to analyze energy performance at a greater breadth, providing more informed policy decisions and solutions to energy demand asymmetries in urban metropolises. This study examines the energy reduction potential for office buildings in the Toronto 2030 District, by testing individual and bundled energy conservation measures and greenhouse gas reduction strategies using a reference building energy model. When extrapolated across Toronto’s urban core, simulation results determined that standard interventions on the existing office building stock have the potential to reduce greenhouse gas emissions by as much as 91.5%, in line with 2030 District initiatives.


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