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Building geometry data from online maps for accurate thermal simulations of districts

Building Simulation 2023年第9期16卷 1659-1674页

作者： Laura Romero Rodríguez JoséSánchez Ramos ServandoÁlvarez Domínguez grupo termotecnia.departamento de máquinas y motores térmicos University of CádizPuerto RealCádizSpain grupo termotecnia.departamento de Ingenieria Energética University of SevilleSevilleSpain

Current approaches for simulating the energy performance of buildings on a large scale are limited by numerous assumptions and simplifications,which can lead to inaccurate *** new tools and procedures are emerging to improve accuracy,there remains a need for more user-friendly *** study proposes a new tool based on online maps to create the geometry of districts in a simple *** tool also enables an automatic evaluation of all buildings through dynamic hourly simulations,using a building simulation software and allowing to consider different weather *** illustrate the procedure,a district at risk of energy poverty in Seville(Spain)is modeled,where hourly temperature data for a whole year are available to demonstrate the need for building *** tool is used to evaluate the energy demands of the district under several retrofitting alternatives,and free-floating simulations are also performed to evaluate the improvement of thermal comfort without air-conditioning *** aim is not to discuss the actual values for this particular case,but rather to identify the correct direction for large-scale studies,so as to make them more easily ***,it may be concluded that the results provided by comprehensive tools,such as the one proposed in this study,enable easy yet accurate evaluations of buildings on a large scale with significant time savings,as well as the identification of locations where retrofitting interventions would have the greatest impact.

关键词： buildings districts energy demand efficiency GIS urban scale

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Real-time energy optimization of HEVs under-connected environment: a benchmark problem and receding horizon-based solution

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Control theory and technology 2022年第2期20卷 145-160页

作者： Fuguo Xu Hiroki tsunogawa Junichi Kako Xiaosong Hu Shengbo Eben Li tielong Shen Lars Eriksson Carlos Guardiola department of Engineering and Applied Sciences Sophia UniversityTokyo 102-8554Japan Higashi-Fuji Research Center Toyota Motor Corporation.Shizuoka 410-1107Japan the State Key Laboratory of mechanical transmissions Chongqing UniversityChongqing 400044China the State Key Laboratory of Automotive Safety and Energy Tsinghua UniversityBeijing 100084China Vehicular Systems Department Electrical EngineeringLinkoping UniversitySE 58183Linkoping.Sweden departamento de maquinas y motores termicos Universitat Politecnica de Valencia.Camino de Vera s/n46022 ValenciaSpain

In this paper,we propose a benchmark problem for the challengers aiming to energy efficiency control of hybrid electric vehicles(HEVs)on a road with ***,it is assumed that the targeted HEVs are in the connected environment with the obtainment of real-time information of vehicle-to-everything(V2X),including geographic information,vehicle-to-infrastructure(V2I)information and vehicle-to-vehicle(V2V)*** provided simulator consists of an industrial-level HEV model and a traffic scenario database obtained through a commercial traffic simulator,where the running route is generated based on real-world data with slope and intersection *** benchmark problem to be solved is the HEVs powertrain control using traffic information to fulfill fuel economy improvement while satisfying the constraints of driving safety and travel *** show the HEV powertrain characteristics,a case study is given with the speed planning and energy management strategy.

关键词： Powertrain control Connected and automated vehicles Hybrid electric vehicles Vehicle-to-everything

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