This paper presents a novel integration of building energy simulation with The World Avatar(TWA),a dynamic knowledge graph and agent-based framework designed for comprehensive and interoperable digital representation ...This paper presents a novel integration of building energy simulation with The World Avatar(TWA),a dynamic knowledge graph and agent-based framework designed for comprehensive and interoperable digital representation of the world.The study addresses the imperative for accurate and granular building energy data in energy planning scenarios.By leveraging knowledge graph,agents within TWA replace default assumptions in simulation tools with real-time and location-specific input data,such as building geometry,usage,weather,and terrain elevation.This integrated approach automates the simulation process,enabling agents to retrieve input data,execute simulations,and update the knowledge graph with results in a consistent format.To demonstrate this approach,we developed a simulation agent using the City Energy Analyst.Validation against external datasets from Germany and Singapore shows that the agent significantly improves simulation accuracy.The study also highlights the challenges in data acquisition and processing for municipal heat planning,aligning with the requirements of the German Heat Planning Act.Using Pirmasens,a mid-sized city in Germany,as an example,we demonstrate the practical applicability of the agent in municipal heat planning by providing highly granular data on the heating demands and the solar potentials for heat generation.An accompanying economic analysis further evaluates the cost implications and energy storage requirements associated with the installation of solar collectors,and identifies zones in the city with high solar suitability.These insights enable data-driven decision-making,showcasing the potential of this integrated approach to support municipal heat planning.展开更多
This paper addresses the planning problem of residential micro combined heat and power (micro-CHP) systems (including micro-generation units, auxiliary boilers, and thermal storage tanks) considering the associated te...This paper addresses the planning problem of residential micro combined heat and power (micro-CHP) systems (including micro-generation units, auxiliary boilers, and thermal storage tanks) considering the associated technical and economic factors. Since the accurate values of the thermal and electrical loads of this system cannot be exactly predicted for the planning horizon, the thermal and electrical load uncertainties are modeled using a two-stage adaptive robust optimization method based on a polyhedral uncertainty set. A solution method, which is composed of column-and-constraint generation (C&CG) algorithm and block coordinate descent (BCD) method, is proposed to efficiently solve this adaptive robust optimization model. Numerical results from a practical case study show the effective performance of the proposed adaptive robust model for residential micro-CHP planning and its solution method.展开更多
基金supported by the National Research Foundation,Prime Minister’s Office,Singapore under its Campus for Research Excellence and Technological Enterprise(CREATE)programmePart of this work was also supported by Towards Turing 2.0 under EPSRC,United Kingdom Grant EP/Y016076/1.
文摘This paper presents a novel integration of building energy simulation with The World Avatar(TWA),a dynamic knowledge graph and agent-based framework designed for comprehensive and interoperable digital representation of the world.The study addresses the imperative for accurate and granular building energy data in energy planning scenarios.By leveraging knowledge graph,agents within TWA replace default assumptions in simulation tools with real-time and location-specific input data,such as building geometry,usage,weather,and terrain elevation.This integrated approach automates the simulation process,enabling agents to retrieve input data,execute simulations,and update the knowledge graph with results in a consistent format.To demonstrate this approach,we developed a simulation agent using the City Energy Analyst.Validation against external datasets from Germany and Singapore shows that the agent significantly improves simulation accuracy.The study also highlights the challenges in data acquisition and processing for municipal heat planning,aligning with the requirements of the German Heat Planning Act.Using Pirmasens,a mid-sized city in Germany,as an example,we demonstrate the practical applicability of the agent in municipal heat planning by providing highly granular data on the heating demands and the solar potentials for heat generation.An accompanying economic analysis further evaluates the cost implications and energy storage requirements associated with the installation of solar collectors,and identifies zones in the city with high solar suitability.These insights enable data-driven decision-making,showcasing the potential of this integrated approach to support municipal heat planning.
文摘This paper addresses the planning problem of residential micro combined heat and power (micro-CHP) systems (including micro-generation units, auxiliary boilers, and thermal storage tanks) considering the associated technical and economic factors. Since the accurate values of the thermal and electrical loads of this system cannot be exactly predicted for the planning horizon, the thermal and electrical load uncertainties are modeled using a two-stage adaptive robust optimization method based on a polyhedral uncertainty set. A solution method, which is composed of column-and-constraint generation (C&CG) algorithm and block coordinate descent (BCD) method, is proposed to efficiently solve this adaptive robust optimization model. Numerical results from a practical case study show the effective performance of the proposed adaptive robust model for residential micro-CHP planning and its solution method.
