A hierarchical coupled optimization approach for dynamic simulation of building thermal environment and integrated planning of energy systems with supply and demand synergy

Huang, Yanjie; Ji-guang, Kang; Liu, Liu; Zhong, Xiaoyi; Lin, Jian; Xie, Shan Juan; Meng, Chao; Zeng, Yizhang; Shah, Nilay; Brandon, Nigel; Zhao, Yingru

doi:10.1016/j.enconman.2022.115497

Cited by 23 publications

(7 citation statements)

References 54 publications

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“…The weather data utilized in EnergyPlus was retrieved from the CSDW dataset of Shanghai, which contains outdoor dry bulb temperature, outdoor wet bulb temperature, direct radiation intensity, scattered radiation intensity, outdoor relative air humidity, speed of wind, etc., to support energy demand simulations at the hourly scale for an entire year [53]. Since the CSDW dataset was constructed based on meteorological data that observed at least one decade earlier [54,55], the hourly 2020 and 2050 weather data files were generated by using a widely used method in the current literature [10,[56][57][58][59][60], which applied HadCM3 model with medium carbon emission scenario to the original (CSDW) hourly weather data in Shanghai.…”

Section: The Simulation Modelmentioning

confidence: 99%

Modeling the Effect of Green Roofs for Building Energy Savings and Air Pollution Reduction in Shanghai

Zheng,

Chen

2023

Sustainability

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Building energy consumption is an essential source of greenhouse gas (GHG) and air pollution. Green roofs can directly absorb ambient CO2 and remove air pollutants through their vegetation layers, but a limited number of studies have examined their effects on GHG and air pollutant reduction associated with building energy savings, especially in the context of climate change. This research examined the performance of green roofs on CO2 and air pollutant reduction, including SO2, PM2.5, and NOx, through building energy demand savings in Shanghai, China. Climate change mitigation effects were assessed based on the energy consumption of five types of buildings before and after the installation of green roofs under 2020 and 2050 climate conditions, respectively. EnergyPlus software 9.5.0 was applied to simulate hourly energy consumption for different building prototypes with and without green roofs. Green roofs on all building types exhibited positive energy savings on annual, monthly, and diurnal scales, and they can save more energy for most of the building types under the projected 2050 climate condition. Moreover, most of the building energy saved by green roofs came from the Heating, Ventilation, and Cooling (HVAC) systems. In addition, this study discovered that the energy-saving benefits of green roofs vary based on the type of building they were installed on. Green roofs were found to have the largest energy saving on the shopping mall, especially on extremely hot summer days. Finally, a Geographic Information System (GIS)-based approach was developed with the ability to quantify the amount of GHG and air pollutant reduction associated with building energy savings for existing buildings in the Huangpu District of Shanghai. This approach was also utilized to present the spatial distribution of buildings with different levels of suitability to install green roofs by considering their location attributes and air pollutant reduction potential together, which is the major innovation of this research. The purpose of this study is to provide valuable guidance to policy makers regarding the performance of green roofs in building energy-saving and air quality improvement in the urban environment when facing the challenge of climate change, which is essential for urban sustainability.

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Section: The Simulation Modelmentioning

confidence: 99%

Modeling the Effect of Green Roofs for Building Energy Savings and Air Pollution Reduction in Shanghai

Zheng,

Chen

2023

Sustainability

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“…In the study of (Sick et al 2014) authors developed a dynamic model for buildings in different cities in Morocco and they concluded that, if you intend to save energy, you just have to insulate walls and roofs, optimize the wall-to-window ratio and adopt double glazing. However (Yuan Huang et al, 2022) confirm that excessive insulation of the building envelope can have an opposite effect.…”

Section: Introductionmentioning

confidence: 98%

“…In order to suggest new simple design strategies for buildings energy efficiency, (Saboor et al, 2021) assume that performance at low cooling costs is dependent on good wall envelope design. However, according to (Abarkan et al 2013;Yuan Huang et al, 2022) the energy saving in buildings is ensured by the coupling of several building renovation strategies and renewable energy sources such as wind and solar energy.…”

Section: Introductionmentioning

confidence: 99%

Looking for solutions to reduce air conditioner heat flow: Case study of an Academic Research Laboratory

CHERIF

Skander-Mustapha

Jabrallah

et al. 2022

Preprint

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Energy consumption in the building sector has become a global concern. Among the most energy-intensive equipment: air conditioning units, especially in hot countries. This paper investigates this rise of energy consumption for a case study of a laboratory located at the National Engineering School of Tunis, Tunisia. The key idea of this paper is to look for an optimal solution to reduce the energy consumption of the air conditioner while ensuring occupant’s comfort. For this purpose, firstly a laboratory dynamic thermal model is designed. Then, a Hysteresis control is adopted to ensure thermal comfort and to maintain the ambient temperature within a range predefined by the user. To achieve an outcome compatible with expectations, the thermal transfer through laboratory wall’s envelope constituents, considering loads effects on air conditioner functioning and, meanwhile, the energy balance of the system are analyzed. Then, a comparative study of different solutions to improve the energy consumption of the laboratory was also carried out. The results indicate that the use of double-glazed windows is the most suitable. The window model used guarantees an energy gain of 27% if it is used only for the windows of the east wall and an additive gain of 30% if it is used for all the openings. Otherwise, if an external insulation is adopted, the energy gain is negligible. The proposed model is implemented in Matlab / Simscape and results are validated by the experimental measurements provided by a network of temperature sensors and transmitted to cloud service.

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“…The optimization of the supply chain for biomass energy valorization units is a crucial research area, given the increasing focus on renewable energy sources and the decarbonization of industrial production and mobility [11,12]. This optimization is a complex problem due to various supply and demand constraints [13]. The transportation costs of residual biomass constitute the majority of the supply chain costs for energy production, thus attracting attention from several recent studies on methodologies for optimizing logistical processes and reducing total operation costs [14,15].…”

Section: Introductionmentioning

confidence: 99%

Optimization of the Residual Biomass Supply Chain: Process Characterization and Cost Analysis

Nunes

Silva

2023

Logistics

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This study delves into the critical role of logistical cost optimization in the residual woody biomass supply chain, aiming to enhance the sustainability and efficiency of this resource’s exploitation. The research underscores that proficient cost management of logistical operations is pivotal for the economic feasibility of residual biomass utilization. The paper scrutinizes key aspects, such as collection, transportation, storage, and processing of biomass, emphasizing their individual contributions to the overall cost. It also pays particular attention to the impacts of seasonality and biomass quality variations, which directly influence the cost and effectiveness of the supply chain. To facilitate a deeper understanding of these factors, the study introduces mathematical models that enable the exploration of diverse scenarios and optimization strategies. The use of linear programming, genetic algorithms, and tabu search techniques are discussed in the context of these models. The findings of this research hold significant implications for the management of the residual biomass supply chain and contribute to the transition towards a low-carbon economy.

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A hierarchical coupled optimization approach for dynamic simulation of building thermal environment and integrated planning of energy systems with supply and demand synergy

Cited by 23 publications

References 54 publications

Modeling the Effect of Green Roofs for Building Energy Savings and Air Pollution Reduction in Shanghai

Modeling the Effect of Green Roofs for Building Energy Savings and Air Pollution Reduction in Shanghai

Looking for solutions to reduce air conditioner heat flow: Case study of an Academic Research Laboratory

Optimization of the Residual Biomass Supply Chain: Process Characterization and Cost Analysis

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