Energy policy research group
Climate change is the greatest challenge of our time. Energy issues are particularly complex, and cross multiple fields of knowledge. Motivated students with various backgrounds in "Energy Policy Research Group” contributes at its scale and in different ways to provide energy solutions to the challenges currently faced by society. Members research projects are summarized below.
1. Energy policy research
There are a number of policy misalignments for decarbonization, such as finance, taxation, trade policies, innovation and adaptation, remained in three sectors: electricity, urban mobility and spatial planning. We propose aligning the regulation for new technology to accelerate the decarbonization by conducting international/domestic policy review and various of model analysis.
Proposal for grid management reform for Japan.
References; Tatsuya Wakeyama, Assessment on Interregional Grid Management for Renewable Energy Integration in Japan, 15th Wind Integration Workshop, Austria, November 2016
2. Electricity system model analysis
For the purpose to delineate a picture of the 100% renewable energy power system, we conduct model analysis of energy scenario with the case of high integration of renewables for 2030 to 2050 by using GIS, capacity expansion model, economic dispatch model, unit commitment model, market model and grid model.
International collaboration: Study on integrating renewables into the Japanese power grid by 2030.
References; Rena Kuwahata, Peter Merk, Tatsuya Wakeyama, Dimitri Pescia, Steffen Rabe, Shota Ichimura, Renewables integration grid study for the 2030 Japanese power system, IET Renewable Power Generation
3. Future energy technology and grid
In future energy system dominated by zero-marginal cost renewable energy, there are many prosumers on the grid and new trade, balancing, settlement and consumption of energy are expected. We propose the future energy technology and grid by transdisciplinary approaches by using engineering, economics, computer science, artificial intelligence and mathematical sociology.
IGP-C (MEXT Scholarship), Energy Course, M1 student
Modeling of the solar power output forecast system for Hyderabad Railway Station (India) using Transfer Learning and Hidden Markov Model
Indian Railways has set an ambitious target of becoming a net carbon-zero transporter by 2030. With the rapid adoption of photovoltaic (PV) systems on the railways and their integration into the electricity grid, it has become a necessity to accurately forecast the photovoltaic output at their intended site of use for effective energy management to mitigate the instability of the grid caused by the intermittency of solar power. The literature shows that transfer learning and Hidden Markov Models (HMM) have shown promising results in various applications. However, the scarcity of data in new installations is a big impediment to effective energy management. The research aims to model a solar power forecast system using transfer learning from a pretrained HMM model capable of predicting solar irradiance using the weather parameters as inputs. The real data of the solar power output of Hyderabad Railway Station in India is used to test the results. The input weather parameters (Global Horizontal Irradiance, Temperature maximum, Skin temperature, humidity, and wind speed) from the Indian Meteorological Department and the solar power output from the datalogger of the plant will be used to train and test the model. See figure below for overall concept of the research in general.
IGP-C, Energy Course, M2 student
V2G Integration on multi-energy source microgrid in Xi’an China considering the economic return benefits
In China, the transportation sector consumes a large proportion of total energy demand but also is the main source of carbon dioxide emission. Transportation consumed more than 14 million terajoule and emitted 901Mt carbon dioxide in 2019. What’s worse, vehicles accounted for 42% of the total consumption of crude oil and more than 80% of refined oil. In order to achieve zero emission target in China as soon as possible, Integrated EV to a multi-energy source microgrid can be a good solution(see figure below). From energy generation transformation aspect, Microgrid uses distributed clean energy which is a good solution of improper energy usage and solves the problem of over dependent on traditional energy sources. From the transportation aspect, EV is a kind of new clean energy vehicle which undoubtedly reduces harmful gas emissions. Combined these two part in the research and then analysis their economic and environmental return can speed up the sustainable development of society by persuading more EV cars’ owners join in the interaction between cars and grid.
IGP-C, Energy Course, D1 student (Wakeyama Lab)
Government agents’ drivers in municipal solid waste management systems: a case study in Yokohama (Japan) and Suzhou (China)