Optimal clean heating mode of the integrated electricity and heat energy system considering the comprehensive energy-carbon price

Energy ◽  
2021 ◽  
pp. 120919
Author(s):  
Youjun Zhang ◽  
Junhong Hao ◽  
Zhihua Ge ◽  
Fuxiang Zhang ◽  
Xiaoze Du
Keyword(s):  
Energy System ◽  
Carbon Price ◽  
Heat Energy ◽  
Heating Mode

Towards a 3D Spatial Urban Energy Modelling Approach

2014 ◽  
Vol 3 (3) ◽  
pp. 1-16 ◽  
Author(s):  
Jean-Marie Bahu ◽  
Andreas Koch ◽  
Enrique Kremers ◽  
Syed Monjur Murshed
Keyword(s):  
High Resolution ◽  
Distributed Generation ◽  
Energy Demand ◽  
Energy Use ◽  
Energy Systems ◽  
Energy System ◽  
Heat Energy ◽  
3D City Models ◽  
City Models ◽  
Modelling Approach

Today's needs to reduce the environmental impact of energy use impose dramatic changes for energy infrastructure and existing demand patterns (e.g. buildings) corresponding to their specific context. In addition, future energy systems are expected to integrate a considerable share of fluctuating power sources and equally a high share of distributed generation of electricity. Energy system models capable of describing such future systems and allowing the simulation of the impact of these developments thus require a spatial representation in order to reflect the local context and the boundary conditions. This paper describes two recent research approaches developed at EIFER in the fields of (a) geo-localised simulation of heat energy demand in cities based on 3D morphological data and (b) spatially explicit Agent-Based Models (ABM) for the simulation of smart grids. 3D city models were used to assess solar potential and heat energy demand of residential buildings which enable cities to target the building refurbishment potentials. Distributed energy systems require innovative modelling techniques where individual components are represented and can interact. With this approach, several smart grid demonstrators were simulated, where heterogeneous models are spatially represented. Coupling 3D geodata with energy system ABMs holds different advantages for both approaches. On one hand, energy system models can be enhanced with high resolution data from 3D city models and their semantic relations. Furthermore, they allow for spatial analysis and visualisation of the results, with emphasis on spatially and structurally correlations among the different layers (e.g. infrastructure, buildings, administrative zones) to provide an integrated approach. On the other hand, 3D models can benefit from more detailed system description of energy infrastructure, representing dynamic phenomena and high resolution models for energy use at component level. The proposed modelling strategies conceptually and practically integrate urban spatial and energy planning approaches. The combined modelling approach that will be developed based on the described sectorial models holds the potential to represent hybrid energy systems coupling distributed generation of electricity with thermal conversion systems.

Research on Microgrid System in the DC-Building

2014 ◽  
Vol 596 ◽  
pp. 678-681
Author(s):  
Ya Ning Yuan ◽  
Ming Meng
Keyword(s):  
Energy Saving ◽  
Control Strategy ◽  
Integrated Management ◽  
Storage System ◽  
Management Strategies ◽  
Electric Energy ◽  
Energy System ◽  
Heat Energy ◽  
High Quality ◽  
Bidirectional Power Flow

In order to achieve the objectives of energy-saving and emission reduction for modern buildings and provide high quality power supply, a DC microgrid system of thermoelectric energy comprehensive control is proposed. The system includes two subsystems of electric energy and heat energy system, and realizes electric and heat energy transformation and combination through cogeneration unit and electronic heating device. To achieve efficient use of energy, integrated management strategies is also proposed. Distributed generations are controlled by the maximum power tracking strategy, and the hybrid energy storage system uses droop control strategy to stabilize DC bus voltage. In the connection point between the grid and microgrid, the bidirectional converter uses vector decoupling control strategy with double closed loop for pulse width modulation (PWM) to solve the problem of bidirectional power flow with the grid. The simulation results indicate that the system can provide high quality, energy saving, stable power for the modern building.

scholarly journals Operation Result Analysis of Renewable Heat Energy System in Eco-friendly Energy Town

2021 ◽  
Vol 41 (5) ◽  
pp. 59-60
Author(s):  
Deukwon Kim ◽  
Jaehyuk Heo ◽  
Minwhi Kim ◽  
Dongwon Lee
Keyword(s):  
Energy System ◽  
Heat Energy ◽  
Result Analysis

scholarly journals Pathway Analysis of a Zero-Emission Transition in the Nordic-Baltic Region

Energies ◽  
2019 ◽  
Vol 12 (17) ◽  
pp. 3337 ◽  
Author(s):  
Peter D. Lund ◽  
Klaus Skytte ◽  
Simon Bolwig ◽  
Torjus Folsland Bolkesjö ◽  
Claire Bergaentzlé ◽  
...  
Keyword(s):  
Renewable Energy ◽  
Pathway Analysis ◽  
Large Scale ◽  
Energy Use ◽  
Energy System ◽  
Carbon Price ◽  
System Modelling ◽  
Baltic Region ◽  
Emission Pathway ◽  
Zero Emission

A zero-emission pathway for the Nordic and Baltic region in Europe is described based on the comprehensive policy and scenario analyses, accompanied by energy system modelling. The analyses show that a least-cost strategy would massively employ renewable energy, particularly in the power sector. Through strong coupling across energy sectors and countries, electricity would play a central role in the decarbonization of the main energy sectors. In particular power-to-heat conversion, where heat storage appears important in addition to existing hydropower. Technical and regulatory barriers in front of increased sector coupling and flexibility were identified, and policy measures are proposed to overcome these. In addition to a high carbon price, dynamic tariffs and taxation of electricity would be important to allow market signals for flexibility to reach end-users. A stronger power transmission connection from the Nordics to the mainland-Europe and the United Kingdom would be beneficial for the emission reductions and renewable energy use. The transition pathway analysis points out socio-technical issues such as social acceptance of large-scale new infrastructures (e.g., wind, cables). The energy system optimizations indicate that most of the investments needed for the zero-emission pathway until 2050 would take place already by 2030.

scholarly journals Thermal energy control in building energy system

2021 ◽  
Vol 25 (4 Part B) ◽  
pp. 3123-3131
Author(s):  
Yuan Chen
Keyword(s):  
Benders Decomposition ◽  
Energy System ◽  
Building Energy ◽  
Heat Energy ◽  
Strategy Model ◽  
Building Systems ◽  
Heating Model ◽  
Benders Decomposition Algorithm ◽  
Building Energy System ◽  
Energy Sharing

There is usually a waste of energy consumption in building systems. To help buildings reduce energy waste, the article established a building-sharing heat and power energy sharing system to achieve optimal energy allocation. Furthermore, the report determined the dual operation strategy model of using heat energy to determine power supply and electricity to determine heat energy. At the same time, we use stochastic programming and multi-objective optimization of the heating model and propose a two-level optimization model solution method based on the Benders decomposition algorithm. At the end of the thesis, the process was applied to actual cases to verify the method?s effectiveness.

scholarly journals OPTIMIZATION PROBLEMS OF MATHEMATICAL MODELLING OF A BUILDING AS A UNIFIED HEAT AND POWER SYSTEM

2020 ◽  
Vol 16 (1) ◽  
pp. 156-161
Author(s):  
Yuri Tabunshchikov ◽  
Marianna Brodach
Keyword(s):  
Mathematical Model ◽  
Mathematical Models ◽  
Optimization Problems ◽  
Energy System ◽  
Heat Energy ◽  
Objective Functions ◽  
Outdoor Climate ◽  
Energy Flows ◽  
The Mathematical Model ◽  
The Pontryagin Maximum Principle

The mathematical model of a building as a single heat energy system by the decomposition method is represented by three interconnected mathematical models: the first is a mathematical model of the energy interaction of a building’s shell with an outdoor climate; the second is a mathematical model of energy flows through the shell of a building; the third is a mathematical model of optimal control of energy consumption to ensure the required microclimate. Optimization problems for three mathematical models with objective functions are formulated. Methods for solving these problems are determined on the basis of the calculus of variations and the Pontryagin maximum principle. A method for assessing the skill of an architect and engineer in the design of a building as a single heat energy system is proposed.

scholarly journals Identifying Pathways to Accomplish Brazil's NDC Through an Integrated Assessment Modeling Approach

2020 ◽  
Author(s):  
Régis Rathmann ◽  
Dominique Mouette ◽  
Edmilson Moutinho dos Santos ◽  
Márcio Rojas da Cruz ◽  
Ricardo Vieira Araujo
Keyword(s):  
Integrated Assessment ◽  
Ghg Emissions ◽  
Energy System ◽  
Carbon Price ◽  
Energy Utilization ◽  
Modal Shift ◽  
Planted Forests ◽  
Mitigation Potential ◽  
Integrated Assessment Modeling ◽  
Nationally Determined Contributions

Abstract Background: The increasing awareness about climate change and the adverse effects of global mean temperature increasing beyond +1.5 ∘ C above pre-industrial levels resulted in a historic international climate agreement in December 2015 in Paris. Countries around the globe published their intended Nationally Determined Contributions (hereafter iNDCs)–converted into Nationally Determined Contributions (NDC), committing to take actions post-2020 to tackle global warming, mainly to mitigate greenhouse gases (GHG) emissions. The Brazilian NDC established absolute emissions targets of 1.3 GtCO 2 e by 2025 and of 1.2 GtCO 2 e by 2030 (GWP-100, AR5), corresponding to reductions of 37% and 43%, respectively, compared to 2005. In this work, we studied the role that each economic sector can play to meet the Brazilian NDC through an integrated assessment modeling (IAM) approach. Results: The analysis showed that the AFOLU (Agriculture, Forestry and Land-Use) sector would contribute with mitigation amounts of 25.5 MtCO 2 e in 2025 and 145.8 MtCO 2 e in 2030, considering implementation of no-regret abatement measures (LC0) and LC10 scenario, which implies an economic effort to internalize a carbon price of US$ 10/tCO 2 e in the economy, respectively. Potential emissions reductions in the energy system would contribute to the mitigation of 60.4 MtCO 2 e in 2025 and 211.1 MtCO 2 e in 2030. Additionally, we identified critical measures with higher mitigation potential, for instance, commercially planted forests, integrated crop-livestock-forestry systems, no-tillage systems, biological nitrogen fixation application, intensification of livestock production through cattle confinement, deforestation reduction, expansion of native vegetation, and degraded pastures recovery in the AFOLU sector. Regarding the energy system, the integrated modeling demonstrated high mitigation potential in measures related to energy efficiency in the industry, waste management, and transport sectors; as well as a modal shift from individual to collective passenger transport and highways to railways and waterways to load transportation, and energy utilization of urban solid waste and effluent of treatment plants for the production of biomethane and electricity. Conclusions: Projected emissions for 2025 demonstrate that the NDC target for this year could be achieved with the LC0 scenario (carbon value equal to zero) implementation, while the NDC target for 2030 could be achieved by implementing the LC10 scenario in 2030.

Sign in / Sign up

Export Citation Format

Share Document