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Research

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Research directions
  Demand Response Control
Building Load Prediction: Short-term hourly load prediction, medium and long term hourly load prediction;
Demand Response Control Strategies: Dynamic electricity price, DR economic incentives ;
Building Electricity Elasticity Analysis: HVAC system, electrical equipments, energy storage systems, building envelope and occupants model, etc.
  Use Big Data to Improve Building Energy Management
Extraction of Typical Occupancy Data of Buildings: extract typical occupancy data of different types of buildings by analyzing position data from mobile devices;
Optimal Operation and Maintenance Management of Buildings: Improve building operation and maintenance by combining BEMS data with occupancy data.
  Building Information Technology
IFC Based Air Conditioning System Automatic Design: BIM based automated design, automatic extraction of design parameters, automatic system generation and self-learning iteration;
Automatic Zoning of Building Model: From BIM to BEM (Building Energy Model), and automatic zoning of air-conditioning system.
  Fault Diagnosis
Fault Diagnosis Based on Sub-metering System: According to the measured energy consumption data, an energy efficiency diagnosis algorithm based on model and rules is developed to diagnose the energy consumption from three levels: weekly, day-by-day and hourly;
Fault Diagnosis Based on Main Parameters of Equipment: performance testing and performance basis fault diagnosis;
Fault Diagnosis from Video and Audio Signals: Use image recognition algorithm to detect hardware faults and failures based on the infrared image.
Research Projects
Introduction: This research focuses on simulation technology of integrated energy system. It studies the simplified modeling technology of multi-energy coupling components, the static characteristics and model construction method of multi-energy coupling components, the dynamic characteristics identification of module with big time constant and equal-efficiency energy storage modeling, the methods to building standardized model base. It also studies the mechanism of Multi-energy system with multi-temporal coupling and quasi-steady state joint simulation technology and small-step energy balance simulation technology. Based on the above research, the layered simulation architecture system and the integrated simulation technology for different simulation step requirements are used to develop the distributed integrated energy simulation system for the demonstration project. It completed the multi-source energy storage module in the distributed simulation system and improved the simulation accuracy.
Introduction: All the work in this project bases on the structure, physical principle and data collection status of rail vehicle air conditioning system. In this project, we certained the performance characteristics index of rail vehicle air conditioning system and its core equipment, and formulated the calculation methods. In the meanwhile, with summarizing the index characteristics of typical failure modes, we realized air conditioning fault diagnosis of the system and key components. Furthermore, we studied the change law of characteristic index during the operation phase and build a performance degradation model, so that we realize the fault early warning and health assessment of the typical failure mode.
Introduction: All the work in this project bases on the structure, physical principle and data collection status of passenger station air conditioning system. In this project, we certained the performance characteristics index of passenger station air conditioning system and its core equipment, and formulated the calculation methods. In the meanwhile, with summarizing the index characteristics of typical failure modes, we realized air conditioning fault diagnosis of the system and key components. Furthermore, we studied the change law of characteristic index during the operation phase and build a performance degradation model, so that we realize the fault early warning and health assessment of the typical failure mode.
Introduction:
1. Realize optimized allocation in regional energy. Focus on the use of new energy, especially on the strategy on multi-energy complementarity. Also explore the trend of demand side load changes;
2. Provide comprehensive resource optimization planning methods to maximize energy utilization;
3. Building load prediction. Based on building big data, use a combination of white box model and black box model to make short-term, medium- and long-term predictions for building units and buildings, which provides a theoretical basis for the optimal design of building energy.
Introduction:This research determines 1 constant frequency and 3 variable frequency air conditioning products (chest or wall type) as the benchmark model based on cooling capacity, energy efficiency, market share, price and other factors. And based on the list of raw materials and main components, the study estimates the material cost and indirect cost (labor, profit, tax, etc.) of the benchmark model. The energy consumption in the service stage of the benchmark model was studied.
Introduction: Considered with factors such as cooling capacity, energy efficiency, market share, price, etc., we determined one fixed frequency and three inverter air conditioner products (cabinet or wall mount) as the reference model; study the raw material and main device list of the reference model; based on raw materials and main components list, estimate the material cost and indirect cost of the base model (manual, profit, tax, etc.); study the baseline model using the stage energy consumption.
Introduction: The research studies the mobile robot with data acquisition, image recognition, smoke induction, the energy efficiency evaluation, fault diagnosis, timing patrol, alarm reaction, equipment start-stop, elevator control, and other functions, to get the building interior information, and to give full play to artificial intelligence decision-making ability. The robot helps the operators with part or all of the on-site facilities inspection work, using its executable unit. Eventually it can achieve the automation, intelligence, unmanned management in the field of building facility management.
Introduction: According to the itemized energy consumption data of large public buildings, we excavate the hidden physical information, so as to find out the energy waste points existing in the whole building level and the energy-using system level, and provide the guidance suggestions automatically. This work not only achieves the effect of energy saving, but also saves the manpower and material resources needed for the operation and management of the building. In view of the complexity of the central air-conditioning system, a major energy item in buildings, we focus on its fault detection and diagnosis methods, mainly in the detection and diagnosis of the central air-conditioning system and its main equipment operation management failure and mechanical component failure. At the same time, we explore the role of itemized energy consumption data of large public buildings in energy saving measurement and verification, and put forward reasonable correction methods for variables such as weather, personnel, operating conditions and use. By combining the itemized measurement data with energy saving audit, we finally presented a set of energy saving calculation and audit scheme suitable for the itemized measurement platform.
Introduction: the core of energy conservation transformation is energy conversation effect. The main objective of the project is "a system for evaluating the overall effect of community energy conservation projects". It develops and formulates a set of energy saving effect evaluation methods that not only can be used in Changning district but also can be extended to other parts of the country. The research method is not specific to a single building, but the methods to evaluate energy conversation and carbon reduction when managing a large renovation plan.
Introduction:Renewable energy is now increasingly used to replace part of traditional energy in the energy system of buildings in cities. The single energy system can no longer meet the load demand and environmental protection demand of buildings. However, at present, the research on a variety of energy systems is often limited to the planning stage, which is static research. As for how to control in the actual operation process, few strategies have been proposed, which is the key point of our research. Aiming at the operation stage of multi-energy system, we put forward the optimal operation scheme of multi-energy system according to the real-time load of the building. The final software implementation of the scheme will be used in the multi-energy system of the building, which has certain theoretical value and economic value.
Introduction: The research establishes the simulation model meeting accuracy requirements to a certain degree according to the mathematical model of photovoltaic cell. And the photovoltaic experimental platform is established to verify the accuracy of the photovoltaic cell simulation model. If the accuracy of the photovoltaic cell simulation model cannot meet requirements, the photovoltaic cell simulation model will be improved until it can meet the accuracy requirements of future work. Using different types of photovoltaic cells for the experiment, and changing the corresponding parameter input of the simulation model and comparing experimental data and simulated data to verify the universality of the simulation model. Establishing the simulation model of other components in pv system, such as inverter efficiency model and MPPT model, to verify the accuracy of the model by experimental data. It establishes the fault diagnosis system in photovoltaic system and introduces different faults on the experimental photovoltaic panels to determine whether the fault diagnosis system can operate normally and meet the required technical requirements.
Introduction: According to different fault characteristics and actual situation of solar photovoltaic system, we summarize the corresponding fault classification method and analyze it. Then, according to the established fault classification of photovoltaic system, we put forward a fault diagnosis algorithm based on energy analysis. The required parameters of this method are easy to be obtained, and the fault judgment only needs environmental parameters such as irradiance and temperature and corresponding circuit parameters such as ac and dc voltage and current in the system. Finally, we use MATLAB to establish the fault diagnosis system, and realize the whole system of hardware and software system design and construction. In order to verify the effectiveness of the fault diagnosis system, we introduce the fault diagnosis system established in this paper into the system of long-term practical operation.
Introduction:This research puts forward some suggestions to improve the wind, light and sound environment of a certain area in Chenjia town, Chongming city, Shanghai, on the basic of the original situation. The computational fluid dynamics software was used to optimize the layout of the overall wind field. And the optimized layout has better heat dissipation in summer and heat preservation in winter. Building information model is used to simulate the light environment and sound environment. Finally, the effect of layout on traffic energy consumption is discussed, and a series of optimization schemes are proposed.
Introduction: In this project, the thermal environment of the data center in the headquarters building of Suzhou construction bank is tested, and the existing problems in the computer room are pointed out. In view of these problems, we determined the improvement plan and measures of the computer room through numerical simulation, and put forward a series of effective suggestions to improve the thermal environment of the data center.
Introduction: This research aims to change the situation of high energy consumption and high pollution in Chinese agriculture, popularize more efficiency and low-carbon technologies in agriculture in collaboration with the United Nations' renewable energy and energy efficiency partnership (REEEP). And Innovation and research in many agricultural fields have been carried out, including the development of blueberry greenhouse seasonal solar energy storage system, application of mushroom room full heat exchange technology, pig shed renovation and design and other fields.
Introduction:The research analyze the energy efficiency of the existing data center, find out its energy saving potential, and make an economic energy saving transformation plan according to the practical constraints, so as to reduce the economic expenditure on energy consumption for the owners.
简介:
(1) Research on building energy consumption prediction
The research predicted the future hourly meteorological parameters of each typical city under different scenarios of greenhouse gas emissions according to the climate characteristics of China and the division of climate zones. Four building types, residential, office, hotel and shopping mall, are selected to establish the energy consumption standard model. The future hourly meteorological parameters of each typical city are substituted into the standard model of building energy consumption. The prediction model of building energy consumption under climate change is established to simulate and calculate the change of energy consumption of various buildings and the change of total energy consumption of buildings. So as to predict the future change trend of building energy consumption in China under climate change.
(2) Research on low-carbon building technology
The research also focus on Low-carbon building carbon emission calculation method and evaluation, the low-carbon building technology carbon emission quantitative evaluation system are established preliminarily.
Introduction:Quantitative indexes, such as Shading Coefficient (SC) and Solar Heat Gain Coefficient (SHGC), are commonly used to evaluate the performance of shading facilities. However, the determination of these indexes is carried out under specified working conditions and cannot accurately reflect the effect of shading facilities in practical projects. Another means is to adopt the method of energy consumption simulation, which can analyze the influence of shading facilities on cooling and heating load and lighting in an hourly or even shorter interval. However, this method is very tedious, and it needs to establish the building model and debug correctly first. Based on the pros and cons of these two methods, the main research content of this project is developing an energy saving effect specifically for sunshade calculation engine based on EnergyPlus. The engine covers all kinds of movable, fixed shading commonly used now. It not only can calculate the conventional SC, SHGC and other performance indicators, and it is also very convenient to calculate the specific shading in actual working condition of the impact on the energy consumption of air conditioning energy consumption, lighting.
Introduction:The research develops a comprehensive community carbon emission assessment tool and model. This model can quickly calculate the community carbon emissions under various planning and design scenarios. So as it is possible for low-carbon planning. The overall goal of the study is to build a community carbon emission planning model for urbanization practice based on the actual situation of Chinese communities. The scope of the research includes three aspects: building LCA carbon emission, transportation carbon emission and green space carbon sink.
Introduction:The project aims to optimize the energy-saving design of the passive intelligent breathing window and study its applicability in hot summer and cold winter areas. Based on the typical meteorological year data of Shanghai, we studied the influence of different cavity spacing, outer window opening size and window size on the energy-saving and thermal performance of the intelligent breathing window, so as to provide some reference for the intelligent breathing window design in hot summer and cold winter areas.
Introduction:To identify the problems and opportunities in the design, construction and operation of mega-tall buildings, United Technology Research Center in China (UTRCC) has committed a research team in Tongji University to collect information through a series of interviews. The interviewees are various stakeholders participating in the design, construction and maintenance of a high-rise building, including developer, designer (architect, MEP engineer), facility manager, etc. For each type of stake holder, a set of specific questions were designed and raised, with the intention to cover as many aspects as possible. In total, six interviews were conducted during this process, in which seven buildings located in five areas are involved. The findings show that when the building height reaches mega-tall level, both the first time investment cost and the operation cost significantly increase. Splitting the operation cost by end uses, the percentage of the building service equipment increases. Furthermore, the unique structure, internal space organization, and requirements of the developers have all contributed to multiple unique problems in the design, construction and operation of high-rise buildings. To solve these problems, a set of methods, tools, and products that don’t exist yet are needed. In terms of this, there are significant opportunities for researchers, product manufactures, design and consulting companies that are related with buildings.