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  • 1. Copertaro, Benedetta
    et al.
    Shen, Jingchun
    Dalarna University, School of Information and Engineering, Construction.
    Sangelantoni, Lorenzo
    Zhang, Xingxing
    Dalarna University, School of Information and Engineering, Energy Technology.
    Building Renovation Adapting to Future Climate: A Potential Solution of Phase-Change Material to Building Envelope2022In: Handbook of Climate Change Mitigation and Adaptation / [ed] Maximilian Lackner, Baharak Sajjadi, Wei-Yin Chen, Springer Nature, 2022Chapter in book (Refereed)
  • 2.
    Han, Mengjie
    et al.
    Dalarna University, School of Information and Engineering, Microdata Analysis.
    Zhao, Jing
    Zhang, Xingxing
    Dalarna University, School of Information and Engineering, Energy Technology.
    Shen, Jingchun
    Dalarna University, School of Information and Engineering, Construction.
    Li, Yu
    The reinforcement learning method for occupant behavior in building control: A review2021In: Energy and Built Environment, ISSN 2666-1233, Vol. 2, no 2, p. 137-148Article in journal (Refereed)
    Abstract [en]

    Occupant behavior in buildings has been considered the major source of uncertainty for assessing energy consumption and building performance. Modeling frameworks are usually built to accomplish a certain task, but the stochasticity of the occupant makes it difficult to apply that experience to a similar but distinct environment. For complex and dynamic environments, the development of smart devices and computing power makes intelligent control methods for occupant behaviors more viable. It is expected that they will make a substantial contribution to reducing global energy consumption. Among these control techniques, the reinforcement learning (RL) method seems distinctive and applicable. The success of the reinforcement learning method in many artificial intelligence applications has given an explicit indication of how this method might be used to model and adjust occupant behavior in building control. Fruitful algorithms complement each other and guarantee the quality of the optimization. However, the examination of occupant behavior based on reinforcement learning methodologies is not well established. The way that occupant interacts with the RL agent is still unclear. This study briefly reviews the empirical applications using reinforcement learning, how they have contributed to shaping the modeling paradigms and how they might suggest a future research direction.

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  • 3.
    Huang, Pei
    et al.
    Dalarna University, School of Technology and Business Studies, Energy Technology.
    Copertaro, Benedetta
    Dalarna University, School of Technology and Business Studies, Energy Technology.
    Zhang, Xingxing
    Dalarna University, School of Technology and Business Studies, Energy Technology.
    Shen, Jingchun
    Dalarna University, School of Technology and Business Studies, Construction.
    Löfgren, Isabelle
    Rönnelid, Mats
    Dalarna University, School of Technology and Business Studies, Energy Technology.
    Fahlen, Jan
    Andersson, Dan
    Svanfeldt, Mikael
    A review of data centers as prosumers in district energy systems: Renewable energy integration and waste heat reuse for district heating2020In: Applied Energy, ISSN 0306-2619, E-ISSN 1872-9118, Vol. 258, article id 114109Article in journal (Refereed)
    Abstract [en]

    As large energy prosumers in district energy systems, on the one hand, data centers consume a large amount of electricity to ensure the Information Technologies (IT) facilities, ancillary power supply and cooling systems work properly; on the other hand, data centers produce a large quantity of waste heat due to the high heat dissipation rates of the IT facilities. To date, a systematic review of data centers from the perspective of energy prosumers, which considers both integration of the upstream green energy supply and downstream waste heat reuse, is still lacking. As a result, the potentials for improving data centers’ performances are limited due to a lack of global optimization of the upstream renewable energy integration and downstream waste heat utilization. This study is intended to fill in this gap and provides such a review. In this regard, the advancements in different cooling techniques, integration of renewable energy and advanced controls, waste heat utilization and connections for district heating, real projects, performance metrics and economic, energy and environmental analyses are reviewed. Based on the enormous amount of research on data centers in district energy systems, it has been found that: (1) global controls, which can manage the upstream renewable production, data centers’ operation and waste heat generation and downstream waste heat utilization are still lacking; (2) regional climate studies represent an effective way to find the optimal integration of renewable energy and waste heat recovery technologies for improving the data centers’ energy efficiency; (3) the development of global energy metrics will help to appropriately quantify the data center performances.

  • 4.
    Huang, Pei
    et al.
    Dalarna University, School of Information and Engineering, Energy Technology.
    Lovati, M.
    Shen, Jingchun
    Dalarna University, School of Information and Engineering, Construction.
    Chai, J.
    Zhang, Xingxing
    Dalarna University, School of Information and Engineering, Energy Technology.
    Investigation of the Peer-to-Peer energy trading performances in a local community under the future climate change scenario in Sweden2022In: Energy Reports, E-ISSN 2352-4847, Vol. 8, p. 989-1001Article in journal (Refereed)
    Abstract [en]

    Peer-to-peer (P2P) energy sharing among neighboring households is a promising solution to mitigating the difficulties of renewable power (such as solar Photovoltaics (PV)) penetration on the power grid. Until now, there is still a lack of study on the impacts of future climate change on the P2P energy trading performances. The future climate change will cause variances in the renewable energy production and further lead to changes in the economic performances of households with various energy uses and affect the decision making in PV ownership and pricing strategies. Being unaware of these impacts could potentially hinder the P2P energy sharing application in practice. To bridge such knowledge gap, this paper conducts a systematic investigation of the climate change impacts on the energy sharing performance in solar PV power shared communities. The future weather data is generated using the Morphine method, and an agent-based modeling method is used for simulating the energy trading behaviors of households. Four comparative scenarios of different PV ownerships and pricing strategies are designed. The detailed energy trading performances (including the PV power self-sufficiency, cost saving, revenues, and compound annual growth rate) for the four comparative scenarios are analyzed under both the present and future climates and compared. The study results of a building community located in Sweden show that the future climate change is more beneficial to large energy use households while less beneficial to small households. High price of energy trading can improve the fairness of the economic performances in the community, especially when some of the households do not have any PV ownership. This study can help understand the future climate impacts on the energy sharing performances of building communities, which can in turn guide decision making in PV ownership and price setting for different households under the future climate change to facilitate real applications. © 2021 The Author(s)

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  • 5. Koke, Johannes
    et al.
    Schippmann, André
    Shen, Jingchun
    Dalarna University, School of Information and Engineering, Construction.
    Zhang, Xingxing
    Dalarna University, School of Information and Engineering, Energy Technology.
    Kaufmann, Peter
    Krause, Stefan
    Strategies of Design Concepts and Energy Systems for NearlyZero‐Energy Container Buildings (NZECBs) inDifferent Climates2021In: Buildings, E-ISSN 2075-5309, Vol. 11, no 8, article id 364Article in journal (Refereed)
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  • 6.
    Shen, Jingchun
    Dalarna University, School of Information and Engineering, Construction.
    A Critical Review of Lighting Design and Asset Management Strategies: Illuminating Practices and Lessons Learned for Swedish Public Libraries2023In: 13th Nordic Symposium on Building Physics, NSB 2023 proceedings, Aalborg, Denmark, 2023Conference paper (Refereed)
  • 7.
    Shen, Jingchun
    et al.
    Dalarna University, School of Information and Engineering, Construction.
    Boyle, Patrick
    Department of Energy and Community Building, Dalarna University, Falun.
    Myhren, Jonn Are
    Dalarna University, School of Information and Engineering, Construction.
    Offerings and challenges of demand response ventilation under covid-19 scenarios2022In: Proceedings of the 17th IBPSA Conference Bruges, Belgium, Sept. 1-3, 2021, International Building Performance Simulation Association , 2022, p. 2368-2373Conference paper (Refereed)
    Abstract [en]

    Owning to the outbreak of COVID-19, individuals have to spend more time indoor. It is therefore essential to prepare for a long-term healthy indoor working environment in the transition of post COVID-19 pandemic. However, there is no relevant research so far in investigating such crisis impacts around indoor environmental quality and economic-health issues while home offices are expected becoming common practice soon. Therefore, a case of single-family house in Sweden is specially investigated using IDA ICE. By comparing four predominant ventilation approaches, three operational schedules are proposed, covering different confinement for occupants. Main results show that the demand response ventilation (DRV) generally should sacrifice in remarkable performance in energy saving, and emission reduction to better confront with more challenges in indoor air quality, occupied thermal dissatisfaction fraction and air stagnation under the challenge of COVID-19 pandemic scenario. Altered ventilation strategy should be customized from increased outdoor air supply, various demand-control signal, displacement method towards a heathier homeworking environment. © International Building Performance Simulation Association, 2022

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  • 8.
    Shen, Jingchun
    et al.
    Dalarna University, School of Information and Engineering, Construction.
    Chen, Yang
    Rajagopal, Karthik Hejamadi
    Enhancing Indoor Environmental Quality and Sustainability in Post-Pandemic Office Settings: A Study on Displacement Ventilation Feasibility2023In: Buildings, E-ISSN 2075-5309, Vol. 13, article id 3110Article in journal (Refereed)
    Abstract [en]

    The COVID-19 pandemic has catalyzed global efforts toward transitioning to a sustainable society, driving rapid innovation in building technologies, working practices, building design, and whole life cycle environmental impact consideration. In this pursuit, this study explores the enduring impact of these on an alternative ventilation approach for both existing building renovations and new building implementations. Comparing displacement ventilation to mixed-mode ventilation in a Finnish office building with varying occupancy densities, this study examines indoor air quality (IAQ), thermal comfort, total building energy performance, and embodied carbon. The findings reveal that the basic case of mixed ventilation has a specified system primary energy value of 38.83 kWh/m2 (with 28 occupants) and 39.00 kWh/m2 (with 24 occupants), respectively. With the displacement ventilation alternative, it reduces this by 0.3% and 0.1%, enhancing thermal comfort and decreasing turbulence as well as having a marginal decrease in embodied carbon. In general, the study offers three-fold contributions: insights into post-pandemic office mechanical ventilation design with an emphasis on sustainability and ecological footprint considerations, a concrete case study addressing climate action and human-centric IAQ design, and a multifaceted analysis using the Environmental, Social, and Governance (ESG) paradigm, contributing to the groundwork for associated future research and policy progress.

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  • 9.
    Shen, Jingchun
    et al.
    Dalarna University, School of Information and Engineering, Construction.
    Copertaro, B
    Sangelantoni, L
    Zhang, Xingxing
    Dalarna University, School of Information and Engineering, Energy Technology.
    Influence of Future Climate on Building Performance and the Related Adaptive Solution to New Building Design2022In: Handbook of Climate Change Mitigation and Adaptation / [ed] Maximilian Lackner, Baharak Sajjadi, Wei-Yin Chen, Springer Nature, 2022Chapter in book (Refereed)
  • 10.
    Shen, Jingchun
    et al.
    Dalarna University, School of Technology and Business Studies, Construction.
    Copertaro, Benedetta
    Dalarna University, School of Technology and Business Studies, Energy Technology.
    Sangelantoni, L.
    University of L'Aquila, Italy.
    Zhang, Xingxing
    Dalarna University, School of Technology and Business Studies, Energy Technology.
    Suo, H.
    Guangzhou University, Guangzhou, China.
    Guan, X.
    Guangzhou University, Guangzhou, China.
    An early-stage analysis of climate-adaptive designs for multi-family buildings under future climate scenario: Case studies in Rome, Italy and Stockholm, Sweden2020In: Journal of Building Engineering, E-ISSN 2352-7102, Vol. 27, article id 100972Article in journal (Refereed)
  • 11.
    Shen, Jingchun
    et al.
    Dalarna University, School of Technology and Business Studies, Construction.
    Copertaro, Benedetta
    Dalarna University, School of Technology and Business Studies, Energy Technology.
    Zhang, Xingxing
    Dalarna University, School of Technology and Business Studies, Energy Technology.
    Koke, Johannes
    Kaufmann, Peter
    Krause, Stefan
    Exploring the potential of climate-adaptive container building design under future climate scenarios in three different climate zones2020In: Sustainability, E-ISSN 2071-1050, Vol. 12, no 1, article id 108Article in journal (Refereed)
    Abstract [en]

    The deployment of containers as building modules has grown in popularity over the past years due to their inherent strength, modular construction and relatively low cost. The upcycled container architecture is being accepted since it is more eco-friendly than using the traditional building materials with intensive carbon footprint. Moreover, owing to the unquestionable urgency of climate change, existing climate-adaptive design strategies may no longer respond effectively as they are supposed to work in the previous passive design. Therefore, this paper explores an adaptive upcycled strategy of shipping containers as a carbon-smart modular living solution to a single family house under three design scenarios related to cold, temperate and hot-humid climatic zones, respectively. By assessing the projected future climate data with the ASHRAE Standard 55 and Current Handbook of Fundamentals Comfort Model, it was found that Rome would gradually face more failures in conventional climate adaptive design measures in the coming 60 years. The appropriate utilization of internal heat gains seems to be the most promising measure in Rome, followed by the measure of windows sun shading and passive solar direct gain by using low mass. Weather analysis shows different results in Berlin and Stockholm, where special attention should be paid to the occasional overheating risk. As a result, the holistic climate-adaptive container building design measures are finally summarized from aspects of design features, production / process and challenges in implementation.

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    Exploring the Potential of Climate-Adaptive Container Building Design under Future Climates Scenarios in Three Different Climate Zones
  • 12.
    Shen, Jingchun
    et al.
    Dalarna University, School of Information and Engineering, Construction.
    Huang, Pei
    Dalarna University, School of Information and Engineering, Energy Technology.
    Zhang, Xingxing
    Dalarna University, School of Information and Engineering, Energy Technology.
    Tailoring future climate information for building energy simulation2021In: Data-driven analytics for sustainable buildings and cities: from theory to application / [ed] Xingxing Zhang, Singarpore: Springer, 2021Chapter in book (Refereed)
  • 13.
    Shen, Jingchun
    et al.
    Dalarna University, School of Information and Engineering, Construction.
    Zhang, Xingxing
    Dalarna University, School of Information and Engineering, Energy Technology.
    Saini, Puneet
    Dalarna University, School of Information and Engineering, Energy Technology.
    Machine learning and artificial intelligence for digital twin to accelerate sustainability in positive energy districts2021In: Data-driven Analytics for Sustainable Buildings and Cities: From Theory to Application / [ed] Xingxing Zhang, Singarpore: Springer, 2021Chapter in book (Refereed)
  • 14. Shen, Jingchun
    et al.
    Zhang, Xingxing
    Yang, Tong
    A multifunctional facade with solar thermal technology: Investigation of a compact unglazed solar thermal facade for building integration2018Book (Refereed)
  • 15. Xu, Peng
    et al.
    Shen, Jingchun
    University of Hull.
    Zhang, Xingxing
    University of Hull; University of Nottingham.
    Zhao, Xudong
    Qian, Yingchu
    Case study of smart meter and in-home display for residential behavior change in Shanghai, China2015In: Energy Procedia, ISSN 1876-6102, Vol. 75, p. 2694-2699Article in journal (Refereed)
    Abstract [en]

    Smart meters and in-home displays (IHD) have been recently adopted to help give residential consumers more control over energy consumption, and to help meet environmental and security of supply objectives. The paper aims to identify the effectiveness of smart meters and real-time IHDs in reducing Shanghai household energy consumption through a pilot investigation. The research results demonstrate the improved awareness, understanding, and attitudes towards the energy saving by smart meters and IHDs.

  • 16. Xu, Peng
    et al.
    Zhang, Xingxing
    Shen, Jingchun
    Yang, Tong
    Deng, Wu
    Tang, Llewellyn
    Empirical study of the energy saving potentials in Shanghai residential buildings through human behaviour change2015Conference paper (Refereed)
  • 17. Xu, Peng
    et al.
    Zhang, Xingxing
    Shen, Jingchun
    Yang, Tong
    Tang, Llewellyn
    Field-experimental study of a novel solar photovoltaic/thermal (PV/T) system2015Conference paper (Refereed)
  • 18.
    Zhang, Xingxing
    et al.
    Dalarna University, School of Technology and Business Studies, Energy Technology.
    Pellegrino, Filippo
    Shen, Jingchun
    Dalarna University, School of Technology and Business Studies, Construction.
    Copertaro, Benedetta
    Dalarna University, School of Technology and Business Studies, Energy Technology.
    Huang, Pei
    Dalarna University, School of Technology and Business Studies, Energy Technology.
    Saini, Puneet
    Dalarna University, School of Technology and Business Studies, Energy Technology.
    Lovati, Marco
    Dalarna University, School of Technology and Business Studies, Energy Technology.
    A preliminary simulation study about the impact of COVID-19 crisis on energy demand of a building mix at a district in Sweden2020In: Applied Energy, ISSN 0306-2619, E-ISSN 1872-9118, Vol. 280, article id 115954Article in journal (Refereed)
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  • 19.
    Zhang, Xingxing
    et al.
    Dalarna University, School of Information and Engineering, Energy Technology.
    Shen, Jingchun
    Dalarna University, School of Information and Engineering, Construction.
    Saini, Puneet
    Dalarna University, School of Information and Engineering, Energy Technology.
    Lovati, Marco
    Dalarna University, School of Information and Engineering, Energy Technology.
    Han, Mengjie
    Dalarna University, School of Information and Engineering, Microdata Analysis.
    Huang, Pei
    Dalarna University, School of Information and Engineering, Energy Technology.
    Huang, Zhihua
    Telenor Connexion AB, Stockholm.
    Digital Twin for Accelerating Sustainability in Positive Energy District: A Review of Simulation Tools and Applications2021In: Frontiers in Sustainable Cities, E-ISSN 2624-9634, Vol. 3, article id 663269Article, review/survey (Refereed)
    Abstract [en]

    A digital twin is regarded as a potential solution to optimize positive energy districts (PED). This paper presents a compact review about digital twins for PED from aspects of concepts, working principles, tools/platforms, and applications, in order to address the issues of both how a digital PED twin is made and what tools can be used for a digital PED twin. Four key components of digital PED twin are identified, i.e., a virtual model, sensor network integration, data analytics, and a stakeholder layer. Very few available tools now have full functions for digital PED twin, while most tools either have a focus on industrial applications or are designed for data collection, communication and visualization based on building information models (BIM) or geographical information system (GIS). Several observations gained from successful application are that current digital PED twins can be categorized into three tiers: (1) an enhanced version of BIM model only, (2) semantic platforms for data flow, and (3) big data analysis and feedback operation. Further challenges and opportunities are found in areas of data analysis and semantic interoperability, business models, data security, and management. The outcome of the review is expected to provide useful information for further development of digital PED twins and optimizing its sustainability.

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  • 20. Zhang, Xingxing
    et al.
    Shen, Jingchun
    Yang, Tong
    Tang, Llewellyn
    Experimental study of a solar photovoltaic/thermal (PV/T) system2015Conference paper (Refereed)
  • 21.
    Zhang, Xingxing
    et al.
    Department of Architecture and Built Environment, University of Nottingham, Ningbo, China.
    Shen, Jingchun
    Department of Architecture and Built Environment, University of Nottingham, Ningbo, China.
    Zehui, Hong
    Luying, Wang
    Tong, Yang
    Llewellyn, Tang
    Yupeng, Wu
    Yong, Shi
    Liang, Xia
    Shengchung, Liu
    Building integrated solar thermal (BIST) technologies and their applications: A review of structural design and architectural integration2015In: Journal of Fundamentals of Renewable Energy and Applications, ISSN 2090-4533, E-ISSN 2090-4541, Vol. 5, no 5, p. 1-21Article in journal (Refereed)
    Abstract [en]

    Solar energy has enormous potential to meet the majority of present world energy demand by effective integration with local building components. One of the most promising technologies is building integrated solar thermal (BIST) technology. This paper presents a review of the available literature covering various types of BIST technologies and their applications in terms of structural design and architectural integration. The review covers detailed description of BIST systems using air, hydraulic (water/heat pipe/refrigerant) and phase changing materials (PCM) as the working medium. The fundamental structure of BIST and the various specific structures of available BIST in the literature are described. Design criteria and practical operation conditions of BIST systems are illustrated. The state of pilot projects is also fully depicted. Current barriers and future development opportunities are therefore concluded. Based on the thorough review, it is clear that BIST is very promising devices with considerable energy saving prospective and building integration feasibility. This review shall facilitate the development of solar driven service for buildings and help the corresponding saving in fossil fuel consumption and the reduction in carbon emission.

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  • 22. Zhang, Xingxing
    et al.
    Shen, Jingchun
    Zhao, Xudong
    Comparative investigation of solar photovoltaic (PV) and photovoltaic/thermal (PV/T) systems by both laboratory and field experiments2016In: Renewable Energy in the Service of Mankind Vol II: Selected Topics from the World Renewable Energy Congress WREC 2014 / [ed] Ali Sayigh, Springer, 2016Chapter in book (Refereed)
  • 23. Zhang, Xingxing
    et al.
    Shen, Jingchun
    Zhao, Xudong
    Photovoltaic/Loop-Heat-Pipe Heat Pump Techno for Low-Carbon Buildings2014Book (Refereed)
  • 24.
    Zhang, Xingxing
    et al.
    University of Hull.
    Shen, Jingchun
    Zhao, Xudong
    Xu, ing
    Investigation of a Pilot-scale Photovoltaic/thermal System and its Opportunities for Future Development2014In: Open Journal of Renewable Energy and Sustainable Development, ISSN 2374-5371, Vol. 1, no 2, p. 24-34Article in journal (Refereed)
  • 25. Zhang, Xingxing
    et al.
    Shen, Jingchun
    Zhao, Xudong
    Xu, Ying
    Nibeler, Benno
    A Pilot-scale Demonstration of a Novel Solar Photovoltaic/thermal (PV/T) System and its Scenarios for Future Development2014Conference paper (Refereed)
  • 26. Zhang, Xingxing
    et al.
    Shen, Jingchun
    Zhao, Xudong
    Xu, Ying
    Nibeler, Benno
    Comparative Investigation of Solar Photovoltaic (PV) and Photovoltaic/thermal (PV/T) Systems2014Conference paper (Refereed)
  • 27. Zhang, Xingxing
    et al.
    Shen, Jingchun
    Zhao, Xudong
    Xu, Ying
    Nibeler, Benno
    Investigation of a novel thermal absorber for retrofit of commercial photovoltaic panels2014Conference paper (Refereed)
  • 28. Zhang, Xingxing
    et al.
    Xu, Peng
    Shen, Jingchun
    Tang, Llewellyn
    Hu, Di
    Xiao, Manxuan
    Wu, Yupeng
    Parametric study of a novel gravity assisted loop heat pipe (GALHP) with composite mesh-screen wick structure2016Conference paper (Refereed)
  • 29. Zhang, Xingxing
    et al.
    Zhao, Xudong
    Shen, Jingchun
    Case study of a pilot-scale solar Photovoltaic/thermal (PV/T) system and its opportunities for future development2013In: Proceeding Portugal Sustainable Building 2013 (SB13) conference, Lisbon, Portugal, 30th Oct - 1st November, 2013, 2013Conference paper (Refereed)
  • 30. Zhang, Xingxing
    et al.
    Zhao, Xudong
    Shen, Jingchun
    Feasibility Study of a Solar Photovoltaic/Loop-Heat-Pipe Heat Pump Water Heating System2013In: Proceeding 13th International Conference on Sustainable Energy Technologies, Hong Kong, 28th -30th August 2013, 2013Conference paper (Refereed)
1 - 30 of 30
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