scholarly journals Modeling County-Level Energy Demands for Commercial Buildings Due to Climate Variability with Prototype Building Simulations

World ◽  
2020 ◽  
Vol 1 (2) ◽  
pp. 67-89
Author(s):  
Daniel L. Mendoza ◽  
Carlo Bianchi ◽  
Jermy Thomas ◽  
Zahra Ghaemi
Keyword(s):  
Energy Consumption ◽  
Energy Demand ◽  
Salt Lake ◽  
Weighted Average ◽  
Building Energy ◽  
Commercial Buildings ◽  
Climate Projections ◽  
Level Energy ◽  
Climate Scenarios ◽  
Energy Demands

The building sector accounts for nearly 40% of total primary energy consumption in the U.S. and E.U. and 20% of worldwide delivered energy consumption. Climate projections predict an increase of average annual temperatures between 1.1–5.4 °C by 2100. As urbanization is expected to continue increasing at a rapid pace, the energy consumption of buildings is likely to play a pivotal role in the overall energy budget. In this study, we used EnergyPlus building energy models to estimate the future energy demands of commercial buildings in Salt Lake County, Utah, USA, using locally-derived climate projections. We found significant variability in the energy demand profiles when simulating the study buildings under different climate scenarios, based on the energy standard the building was designed to meet, with reductions ranging from 10% to 60% in natural gas consumption for heating and increases ranging from 10% to 30% in electricity consumption for cooling. A case study, using projected 2040 building stock, showed a weighted average decrease in heating energy of 25% and an increase of 15% in cooling energy. We also found that building standards between ASHRAE 90.1-2004 and 90.1-2016 play a comparatively smaller role than variation in climate scenarios on the energy demand variability within building types. Our findings underscore the large range of potential future building energy consumption which depends on climatic conditions, as well as building types and standards.

scholarly journals Modeling County-Level Energy Demands for Commercial Buildings due to Climate Variability with Prototype Building Simulations

2019 ◽  
Author(s):  
Daniel Mendoza ◽  
Carlo Bianchi ◽  
Jermy Thomas ◽  
Zahra Ghaemi ◽  
Amanda Smith
Keyword(s):  
Energy Consumption ◽  
Energy Demand ◽  
Salt Lake ◽  
Weighted Average ◽  
Building Energy ◽  
Commercial Buildings ◽  
Climate Projections ◽  
Level Energy ◽  
Climate Scenarios ◽  
Energy Demands

The building sector accounts for nearly 40% of total primary energy consumption in the U.S. and E.U. and 20% of worldwide delivered energy consumption. Climate projections predict an increase of average annual temperatures between 1.1-5.4°C by 2100. As urbanization is expected to continue increasing at a rapid pace, the energy consumption of buildings is likely to play a pivotal role in the overall energy budget. In this study we used EnergyPlus building energy models to estimate the future energy demands of commercial buildings in Salt Lake County, Utah, USA, using locally-derived climate projections. We found significant variability in the energy demand profiles when simulating the study buildings under different climate scenarios, based on the energy standard the building was designed to meet, with reductions ranging from 10% to 60% in natural gas consumption for heating and increases ranging from 10% to 30% in electricity consumption for cooling. A case study, using projected 2040 building stock, showed a weighted average decrease in heating energy of 25% and an increase of 15% in cooling energy. We also found that building standards between ASHRAE 90.1-2004 and 90.1-2016 play a comparatively smaller role than variation in climate scenarios on the energy demand variability within building types. Our findings underscore the large range of potential future building energy consumption which depend on climatic conditions, as well as building types and standards.

scholarly journals The Impact Assessment of Climate Change on Building Energy Consumption in Poland

Energies ◽  
2021 ◽  
Vol 14 (14) ◽  
pp. 4084
Author(s):  
Hassan Bazazzadeh ◽  
Peiman Pilechiha ◽  
Adam Nadolny ◽  
Mohammadjavad Mahdavinejad ◽  
Seyedeh sara Hashemi safaei
Keyword(s):  
Climate Change ◽  
Energy Consumption ◽  
Thermal Load ◽  
Building Energy ◽  
Building Energy Consumption ◽  
Building Sector ◽  
Energy Demands ◽  
Heating Load ◽  
The Impact ◽  
The City

A substantial share of the building sector in global energy demand has attracted scholars to focus on the energy efficiency of the building sector. The building’s energy consumption has been projected to increase due to mass urbanization, high living comfort standards, and, more importantly, climate change. While climate change has potential impacts on the rate of energy consumption in buildings, several studies have shown that these impacts differ from one region to another. In response, this paper aimed to investigate the impact of climate change on the heating and cooling energy demands of buildings as influential variables in building energy consumption in the city of Poznan, Poland. In this sense, through the statistical downscaling method and considering the most recent Typical Meteorological Year (2004–2018) as the baseline, the future weather data for 2050 and 2080 of the city of Poznan were produced according to the HadCM3 and A2 GHG scenario. These generated files were then used to simulate the energy demands in 16 building prototypes of the ASHRAE 90.1 standard. The results indicate an average increase in cooling load and a decrease in heating load at 135% and 40% , respectively, by 2080. Due to the higher share of heating load, the total thermal load of the buildings decreased within the study period. Therefore, while the total thermal load is currently under the decrease, to avoid its rise in the future, serious measures should be taken to control the increased cooling demand and, consequently, thermal load and GHG emissions.

The Relationship between Economics Growth and Energy Consumption in China-A Empirical Analysis Based on Energy Kuznets Curve

2014 ◽  
Vol 1073-1076 ◽  
pp. 2457-2461
Author(s):  
Chang Sheng Li ◽  
Qing Ling Li ◽  
Zhong Min Lei ◽  
Han Yang ◽  
Hui Qing Qu
Keyword(s):  
Energy Consumption ◽  
Total Energy ◽  
Empirical Analysis ◽  
Energy Demand ◽  
Kuznets Curve ◽  
Total Energy Consumption ◽  
Energy Demands ◽  
High Level ◽  
The Relationship ◽  
Relative High Level

These paper investigated the relationship between economics development and energy demands based on Energy Kuznets Curve (EFC) in China. The results show that, the prospects of economics and energy demand in China in further will undergo three important stages to 2050.The peak of energy demand maybe around 2035 and the corresponding total energy demand maybe amount 5.7 billion tce. In 2035, the GDP per capital maybe about 17000 (2005 US$) and the urbanization will reach a relative high level. It is urgent for China to take actions to curb the increasing total energy consumption.

scholarly journals Retrofit pada Bangunan Komersial: Tinjauan Masalah dan Metode

Arsitektura ◽  
2020 ◽  
Vol 18 (2) ◽  
pp. 199
Author(s):  
Annisa Fikriyah Tasya ◽  
Purwanita Setijanti ◽  
Asri Dinapradipta
Keyword(s):  
Energy Consumption ◽  
Carbon Emissions ◽  
Building Materials ◽  
Sustainable Use ◽  
Building Energy ◽  
Commercial Buildings ◽  
Operating Costs ◽  
Valuation Process ◽  
Decision Making Processes ◽  
Reduce Energy Consumption

<p class="Abstract"><em>At present energy efficiency is the main target to reduce building operating costs and achieve sustainability. The use of energy in buildings can be done through retrofitting. In addition, retrofitting has the potential to reduce carbon emissions, but there are also those who have to release some building features if necessary, energy features that are applied to existing buildings that have been issued to carry out renovations. Building reinforcement is a complex act, with various criteria that must be met with each other to achieve sustainable use of buildings. This article discusses the benefits, criteria, analytic methods, and decision making processes used to improve commercial buildings. The main criteria for increased energy consumption. Some other criteria are building materials, economy and occupants' needs. The analytical method for estimating or measuring the increase in retrofit that will be discussed in this article is a simulation of building energy. This method is widely used because it can predict the condition of buildings in the future. Each retrofit step is chosen and approved by the several factors; regulations, risks, business sustainability, knowledge, awareness and occupant demand. The retrofit valuation process is based on the value at which financial performance is taken into account. Retrofitting carried out on commercial buildings, applied with care, not only provides opportunities to reduce energy consumption and carbon emissions, but can also increase the value of these properties.</em><em></em></p>

Understanding the Energy Behavior of Building Occupants Through the Chronology of Their Energy Interactions

2021 ◽  
Author(s):  
Danielle Preziuso ◽  
Gregory Kaminski ◽  
Philip Odonkor
Keyword(s):  
Energy Consumption ◽  
Energy Demand ◽  
Building Energy ◽  
Building Energy Consumption ◽  
New Approach ◽  
Smart Building ◽  
Energy Behavior ◽  
Human Energy ◽  
Sequential Nature ◽  
Consumption Habits

Abstract The energy consumption of buildings has traditionally been driven by the consumption habits of building occupants. However, with the proliferation of smart building technologies and appliances, automated machine decisions are beginning to impart their influence on building energy behavior as well. This is giving rise to a disconnect between occupant energy behavior and the overall energy consumption of buildings. Consequently, researchers can no longer leverage building energy consumption as a proxy for understanding human energy behavior. This paper addresses this problem by exploiting the habitual and sequential nature of human energy consumption. By studying the chronology of human energy actions, the results of this work present a promising new approach for non-intrusively learning about human energy behavior directly from building energy demand data.

Building Energy Simulation with On-Site Weather Station

2016 ◽  
Vol 859 ◽  
pp. 88-92 ◽  
Author(s):  
Radu Manescu ◽  
Ioan Valentin Sita ◽  
Petru Dobra
Keyword(s):  
Energy Consumption ◽  
Energy Demand ◽  
Building Energy ◽  
Energy Simulation ◽  
Weather Data ◽  
Building Energy Simulation ◽  
Existing Buildings ◽  
Existing Building ◽  
Simulation Tools ◽  
Heating And Cooling

Energy consumption awareness and reducing consumption are popular topics. Building energy consumption counts for almost a third of the global energy consumption and most of that is used for building heating and cooling. Building energy simulation tools are currently gaining attention and are used for optimizing the design for new and existing buildings. For O&M phase in existing buildings, the multiannual average weather data used in the simulation tools is not suitable for evaluating the performance of the building. In this study an existing building was modeled in EnergyPlus. Real on-site weather data was used for the dynamic simulation for the heating energy demand with the aim of comparing the measured energy consumption with the simulated one. The aim is to develop an early fault detection tool for building management.

scholarly journals Towards sustainable housing: ABS industrialized passive buildings = Hacia la vivienda sostenible: los edificios industrializados pasivos ABS

2018 ◽  
Vol 2 (2) ◽  
pp. 53
Author(s):  
Pedro García SanMiguel ◽  
Julian García Muñoz
Keyword(s):  
Energy Consumption ◽  
Co2 Emissions ◽  
Energy Demand ◽  
Ghg Emissions ◽  
Construction Sector ◽  
Sustainable Housing ◽  
Energy Demands ◽  
Use Stage ◽  
Building System ◽  
Model Versus

Abstract Promoting innovation in the construction sector is one of the cornerstones of sustainability, since it is one of the main responsible for GHG emissions. This paper provides a proposal for sustainable housing: the industrialized passive home of American Building System Company (ABS) and its suitability to be incorporated into the construction system. Following the comparative analysis of the energy demands of this model versus an equivalent house which follows the regulations of the CTE. These data will be simulated by the SG SAVE software that perform the energy simulation of the both systems, based on the transmittance values of enclosures and glass and the final tightness of the homes. From these results about the savings in energy consumption, an economic analysis has been carried out and an assessment of the amortization period of the proposed house facing the other. In addition, through the calculation coefficients of equivalent CO2 emissions from the Spanish Ministry of Industry, the reduction of greenhouse gas emissions associated with energy consumption during the use stage has been obtained. Finally, for a standardize comfort conditions, the modelling and the assessment allow us to conclude that the deployment of ABS house in comparison with the conventional Spanish system supposes a reduction of 60% in energy demand, a 90% in CO2 emissions, and an amortization period of 12 years. With all these evidences we should start to think why this system has not been already integrated in the Spanish construction sector. Resumen Fomentar la innovación en el sector de la construcción es una de las piedras angulares de la sostenibilidad, pues la construcción es uno de los sectores responsables de las emisiones de GEI. Este artículo busca ofrecer una propuesta para la construcción sostenible: la vivienda pasiva industrializada de la empresa American Building System (ABS) y su idoneidad para ser incorporada como sistema constructivo tras el análisis comparativo de sus demandas energéticas frente a los de una vivienda equivalente que sigue la normativa del Código Técnico de la Edificación. Estos datos han sido obtenidos a partir del modelado energético de la vivienda a través del software SG SAVE, en función de los valores de transmitancia de cerramientos y vidrios y la estanqueidad final de la vivienda. A partir de estos resultados se ha realizado un análisis económico y se ha calculado el periodo de amortización de la vivienda propuesta frente a la del sistema convencional. Por otro lado, mediante los coeficientes de cálculo de emisiones del Ministerio de Industria Español, ha sido posible estimar la reducción emisiones de CO2 asociadas al consumo de energía durante la etapa de uso como consecuencia de la reducción de demanda energética entre ambas viviendas. Finalmente, para unas condiciones de confort normalizadas, la modelización energética y el análisis de resultados nos permiten concluir que la vivienda ABS en comparación con la vivienda del sistema convencional español nos permite reducir la demanda energética en hasta un 60%, las emisiones de CO2 en hasta un 90%, con un período de amortización de 12 años. Con todas estas evidencias de mejoría se plantea una reflexión final que es la de por qué este tipo de sistemas constructivos no están todavía integrados en el modelo constructivo español .

scholarly journals Linking Dynamic Building Simulation with Long-Term Energy System Planning to Improve Buildings Urban Energy Planning Strategies

Smart Cities ◽  
2020 ◽  
Vol 3 (4) ◽  
pp. 1242-1265
Author(s):  
Lidia Stermieri ◽  
Chiara Delmastro ◽  
Cristina Becchio ◽  
Stefano Paolo Corgnati
Keyword(s):  
Energy Consumption ◽  
Energy Demand ◽  
Clean Energy ◽  
Energy System ◽  
Building Energy ◽  
Building Simulation ◽  
Energy Planning ◽  
Low Grade ◽  
Urban Energy ◽  
The Impact

The building sector is currently responsible of 40% of global final energy consumption, influencing the broader energy system in terms of new electricity and heat capacity additions, as well as distribution infrastructure reinforcement. Current building energy efficiency potential is largely untapped, especially at the local level where retrofit interventions are typically enforced, neglecting their potential synergies with the entire energy system. To improve the understanding of these potential interactions, this paper proposes a methodology that links dynamic building simulation and energy planning tools at the urban scale. At first, a detailed bottom-up analysis was conducted to estimate the current and post-retrofit energy demand of the building stock. The stock analysis is further linked to a broader energy system simulation model to understand the impact of building renovation on the whole urban energy system in terms of cost, greenhouse gas emission, and primary energy consumption up to 2050. The methodology is suited to analyze the relationship between building energy demand reduction potential and clean energy sources’ deployment to shift buildings away from fossil fuels, the key priority for decarbonizing buildings. The methodology was applied to the case study city of Torino, Italy, highlighting the critical role of coupling proper building retrofit intervention with district-level heat generation strategies, such as modern district heating able to exploit low-grade heat. Being able to simulate both demand and supply future alternatives, the methodology provides a robust reference for municipalities and energy suppliers aiming at promoting efficient energy policies and targeted investments.

scholarly journals Energy Demand Forecast Models for Commercil Buildings in South Korea

Energies ◽  
2019 ◽  
Vol 12 (12) ◽  
pp. 2313 ◽  
Author(s):  
Sungkyun Ha ◽  
Sungho Tae ◽  
Rakhyun Kim
Keyword(s):  
South Korea ◽  
Energy Demand ◽  
Energy Model ◽  
Commercial Buildings ◽  
Demand Forecast ◽  
Annual Average ◽  
Average Growth ◽  
Energy Demands ◽  
City Gas ◽  
Forecast Models

With the Paris Agreement entering into full force, South Korea must submit its target greenhouse gas emissions for commercial buildings by 2030 to the United Nations Framework Convention on Climate Change. To determine this target, the annual energy demands must be forecasted through appropriate models; the development of these models is the focus of our study. We developed a system to calculate energy demand forecasts by searching for suitable methods. We built distinct energy forecast models for petroleum, city gas, electricity, heat, and renewable energies. The results show that the most appropriate variable for the petroleum energy model is energy trend. Moreover, the annual increase rate of petroleum energy demand from 2019 to 2030 was forecasted to be −1.7%. The appropriate variable for city gas energy model was the floor area of commercial buildings, which was forecasted to increase at an annual average growth rate of 0.4% from 2019 to 2030. According to the forecast results of energy demand from 2019 to 2030, the annual average growth rates of electricity, heat, and renewable energy demands were 2.1%, −0.2%, and 1.3%, respectively.

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