Base on the DC microgrid in the College of Energy, Xiamen University, we through three different power supply modes to compare the energy efficiency. This paper introduces the distribution situations of three power supply modesin detail, including components and loads, and calculates and evaluates the Xiamen typical daily loads, typical daily and annual power generation of photovoltaic array. Taking the college offices as the research objects, we test the overall efficiency, the results show that dc power distribution has more advantages than ac power distribution. The overall efficiency can be improved by 6.5-7.9%. Finally, the line loss and voltage drop are analyzed, and the maximum length of cabling is calculated under 380V DC power supply.
In order to optimize the operation of the hot water and steam central heating systems in Tianjin Economic-Technological Development Area, China, the energy and exergy efficiencies and exergy losses of overall system have been analyzed by integrating the first and the second law of thermodynamics. The results indicate that the energy efficiencies of the hot water heating system and steam heating system are 57.10% and 89.98%, while the exergy efficiencies are only 13.89% and 41.02%. The heat losses of energy stations account for 56.98% and 89.75% and the exergy losses of energy stations account for 94.84% and 98.64% for the hot water central heating system and steam central heating system, showing that the energy station is the major part of energy and exergy destruction in the heating system. In order to improve the energy and exergy efficiencies, more attentions should be paid to improving the combustion efficiency of the boiler, and some measures should be taken to reduce energy and exergy losses, such as reducing the exhaust gas temperature, recycling condensed water and improving the hot water or steam temperatures. Besides, good thermal insulation materials should be used to reduce the heat losses of heating pipe networks.
The city and power sectors are major contributors to global carbon emissions. However, there is insufficient research on carbon emission accounting of the urban power sector, and electricity-related carbon emission flows through regional trade are ignored. Using the IPCC method, the network approach and the multiregional input-output model, our study quantifies Beijing’s production-based, supply-based, and consumption based electricity-related carbon emissions between 2007 and 2012. The results show the following. (1) Both supply-based and consumption-based electricity-related carbon emissions were more than three times that of production-based electricity-related carbon emissions. (2) Beijing’s production-based electricity-related carbon emissions fell by 4.6% (from 1.73E+07 tons in 2007 to 1.65E+07 tons in 2012), while the supply-based and consumption-based electricity-related carbon emissions increased by 29.4% (from 5.95E+07 tons in 2007 to 7.70E+07 tons in 2012) and 7.3% (from 6.88E+07 tons in 2007 to 7.38E+07 tons in 2012), respectively. (3) The electricity produced locally in Beijing became cleaner (the carbon emission intensity of electricity Beijing produced decreased from 0.76 kg/kWh to 0.57 kg/kWh), but the carbon emission intensity of the electricity Beijing actually used after buying electricity from other provinces increased (the supplied-based carbon emission intensity increased from 0.88 kg/kWh to 0.91 kg/kWh). This study provides a framework for accounting for the electricity-related carbon emissions of different aspects of the city, which can help to allocate the environmental responsibilities between regions and improve the efficiency of China’s emission reduction policies.
To control global mean temperature at the levels proposed by the Paris Agreement, energy systems need to be net-zero emission systems by mid-century. In 2014, global carbon emissions increased by only 0.5%, and China had contributed to the reduction in emissions. Therefore, a discussion of greenhouse gas emissions and air pollutant emissions in China for 2014 is important, as China is one of the world’s largest emitters. Taking Shanghai, Beijing, Tianjin and Chongqing as examples, we identified 251 power plants with a capacity of greater than 6,000 kW in these four municipalities. In addition, we calculated carbon emissions and air pollutant emissions of five types of power generators in China based on a life cycle assessment. The results illustrate that the thermal power plants and biomass power plants account for most of the emissions (including SO2, CO2, and NOx emissions, 1.87E+09 kg) in the power sector, and the emissions of new energy power generation (2.68E+06 kg) are concentrated in Chongqing. According to the analysis, emissions of CO2 markedly exceed the emissions of SO2 and NOx, with carbon emissions being 156 times that of air pollutants. These results provide new insights into the reduction of carbon emissions and air pollutant emissions for governments and stakeholders.
Windows are a key design element that can affect the building energy performance and occupant psychological satisfaction. While smaller windows can increase building energy performance, they can also lower occupant psychological satisfaction. Despite the importance of determining the optimal window size by considering the building energy performance and occupant psychological satisfaction and their trade-off relationship, few studies have proposed a window size that considers both aspects. To solve this problem, this study proposed the following framework capable of accounting for both aspects in determining the optimal window size: (i) experimental settings for measuring the occupant psychological satisfaction based on the window size; (ii) virtual environment creation using SketchUp, 3dsMax, and the Unreal engine; (iii) measurement of occupant psychological satisfaction using questionnaire survey; (iv) measurement of building energy performance using SketchUp and EnergyPlus; and (v) selection of the optimal window size using the Pareto optimal solution. Using the proposed framework, even non-specialists of virtual reality or energy simulations can easily measure building energy performance and occupant psychological satisfaction by SketchUp modeling. Based on the building energy performance and occupant psychological satisfaction measured as such, the optimal window size can be determined according to building usage and conditions as well as client requirements.
Many countries have introduced various renewable energy sources to reduce carbon emissions. However, installing the renewable energy system without any energy storage system often fails to consume all of the produced energy, which then ends up being wasted. This study evaluated the economic performance of the surplus electricity trading of energy prosumer through three different business models. The proposed method can help energy prosumers to determine the business model with the highest profits and to evaluate the economic feasibility of peer-to-peer electricity trading for the future improvement.
This study proposed the operation planning of the battery energy storage systems (BESS) to maximize the economic value in terms of life-cycle cost considering both the electric power self-consumption and peak load reduction. Toward this end, a bi-objective optimization model was developed in consideration of the economic net profit as well as the battery aging. An economic simulation was then conducted to create a configuration of the most cost-effective operation planning. As a result of the case study, the operation with limits on selfsufficiency rate and peak load reduction could raise the self-sufficiency rate by up to 22.1% and reduce the peak load by up to 29%, while the net present value (NPV) of the BESS was US$7,067.9 lower compared to the operation without such limits. The customers of the BESS with the PV systems can maximize their economic profits and the policy makers can establish plans for economic support schemes to improve the environmental performance of the BESS with the PV system.
Building stock is a key determinant in building energy modelling and policy analysis. However, official statistics on total floor area of urban residential stock in China only exist up to 2006. Previous studies estimating Chinese urban residential stock size and energy use made various questionable methodological assumptions and only produced deterministic results. This paper presents a Bayesian approach to characterise the stock turnover dynamics and estimate stock size uncertainties. Firstly, a probabilistic dynamic model is developed to describe the building aging and demolition process governed by a hazard function specified by a parametric survival model. Secondly, with each of five candidate parametric survival models, the dynamic model is simulated through Markov Chain Monte Carlo (MCMC) to obtain posterior distributions of model-specific parameters, estimate marginal likelihood, and make predictions on stock size. Finally, Bayesian Model Averaging (BMA) is applied to create a model ensemble that combines the model-specific posterior predictive distributions of the stock evolution pathway in proportion to posterior model probabilities. This Bayesian modelling framework, and its results in the form of probability distributions of annual total stock and age-specific substocks, can provide a solid basis for further modelling and analysis of policy trade-offs across embodied-versus-operational energy consumption and carbon emissions of buildings in the context of sectorwide transition towards decarbonising buildings.
The air of high humidity and high sea spray aerosol (SSA) on islands or coastal area always leads to the serious equipment corrosion and affects the living comfort of residents. Conventionally, the airconditioning system can only provide the cooling dry air, and the SSA reduction process is always separated and consumes precious electricity power as well as expendable materials. To simplified the procedure and reduce the energy consumption, this paper proposed a novel hybrid air‐conditioning system combined with sea spray aerosol removal. Based on the characteristics of liquid‐desiccant dehumidification and phase transitions of the ternary solution system, the combined system can be driven by the waste heat source of 90 oC. The proposed system was simulated by the thermodynamic equilibrium model. The results showed that the humidity ratio of the supply air can reach 6.83 g/kg(dry air), with a temperature of 21.14°C. Compared with the conventional cooling dehumidification system utilizing vapor compression refrigeration driven by power, the power saving ratio (PSR) and the equivalent power generation efficiency (ηeq) of the proposed system can reach 92.16% and 8.74%, respectively. Besides, the crystallization experiment is conducted to verify the feasibility of the NaCl separation process. This study provides a new hybrid air‐conditioning system to simultaneously remove moisture and sea spray aerosol by using low‐temperature waste heat.