An Agent Based Simulation for Building Energy System Modeling

2010 ◽  
Author(s):  
Mengqi Hu ◽  
Jin Wen ◽  
Fan Li ◽  
Moeed Haghnevis ◽  
Yasaman Khodadadegan ◽  
...  
Keyword(s):  
System Modeling ◽  
Storage System ◽  
Energy System ◽  
Energy Storage System ◽  
Building Energy ◽  
Agent Based Simulation ◽  
Agent Based ◽  
Time Price ◽  
Building Energy System ◽  
Energy System Modeling

Extensive research has been done on the centralized building energy system modeling and simulation. However the centralized structure is limited to study and simulate the energy interaction between different buildings at different locations. This paper reviews the building energy consumption model, energy storage system and energy generation system in the Net-zero buildings. Incorporate with the real-time price rate model, this paper develops an agent based simulation framework for distributed building energy system under uncertainty. Each sub system is developed as an agent in the simulation model, and a virtual decision agent is designed to simulate the operation strategy. The energy flow between different agents can be easily monitored from the simulation. The differences between on-peak and off-peak control are demonstrated from the simulation result.

Design and Analysis of Energy Storage System Applied to Building Energy Smart Grid Based on Natural Gas Based Distributed Energy System(NDES-SG)

2011 ◽  
Vol 374-377 ◽  
pp. 1119-1126 ◽  
Author(s):  
Hong Qiang Li ◽  
Shu Shuo Kang ◽  
Wen Jing Dong ◽  
Bo Cai ◽  
Guo Qiang Zhang
Keyword(s):  
Energy Storage ◽  
System Design ◽  
Energy Saving ◽  
Storage System ◽  
Energy System ◽  
Energy Storage System ◽  
Building Energy ◽  
Distributed Energy ◽  
Distributed Energy System ◽  
Grid Based

In the early research work,the concept of building energy smart grid based on natural gas based distributed energy system is proposed. For design of energy storage system applied to NDES-SG, basic principles of system design are given which follows energy saving and efficiency increasing in this paper. To interpret integration, energy saving potential and system evaluation method of NDES-SG, Combining with design principles of energy storage system, a simplified typical case system is presented. The influence of energy storage system design on the NDES-SG performance is studied taking ice thermo storage system as an example and system energy saving rate for evaluation criteria. The results show that NDES-SG with a reasonable storage system design can realize energy saving rate approximately 30% compared with NDES-SG without energy storage system. NDES-SG system energy efficiency is further improved.

scholarly journals Understanding Technology, Fuel, Market and Policy Drivers for New York State’s Power Sector Transformation

2020 ◽  
Vol 13 (1) ◽  
pp. 265
Author(s):  
Mine Isik ◽  
P. Ozge Kaplan
Keyword(s):  
New York ◽  
Electricity Generation ◽  
System Modeling ◽  
New York State ◽  
Clean Energy ◽  
Energy System ◽  
Offshore Wind ◽  
Power Sector ◽  
Reduce Emissions ◽  
Energy System Modeling

A thorough understanding of the drivers that affect the emission levels from electricity generation, support sound design and the implementation of further emission reduction goals are presented here. For instance, New York State has already committed a transition to 100% clean energy by 2040. This paper identifies the relationships among driving factors and the changes in emissions levels between 1990 and 2050 using the logarithmic mean divisia index analysis. The analysis relies on historical data and outputs from techno-economic-energy system modeling to elucidate future power sector pathways. Three scenarios, including a business-as-usual scenario and two policy scenarios, explore the changes in utility structure, efficiency, fuel type, generation, and emission factors, considering the non-fossil-based technology options and air regulations. We present retrospective and prospective analysis of carbon dioxide, sulfur dioxide, nitrogen oxide emissions for the New York State’s power sector. Based on our findings, although the intensity varies by period and emission type, in aggregate, fossil fuel mix change can be defined as the main contributor to reduce emissions. Electricity generation level variations and technical efficiency have relatively smaller impacts. We also observe that increased emissions due to nuclear phase-out will be avoided by the onshore and offshore wind with a lower fraction met by solar until 2050.

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