RAEL Lab Meeting
12 - 1 pm, 4 November 2015
310 Barrows Hall, Room 323
Josiah Johnston will be presenting a review of approaches for dealing with uncertainty in the context of Switch, an investment planning tool for low-emission electric power grids. The discussion will also include an introduction to stochastic programming and decomposition tools available for use with the new version of Switch from the PySP python libraries.
This lab meeting will roughly be divided into equal time for presentation and discussion. It will be of most interest to people interested in working with uncertainty in Switch, or general interest in computational tools for optimizing under uncertainty.
RAEL Lab Meeting
12 - 1 pm, 14 October 2015
310 Barrows Hall, Room 323
Join in for a fun meeting discussing the progress of a variety of SWITCH projects and potential research ideas. Dan Kammen will also provide food to boost brain power and stimulate a lively discussion!
SWITCH (Solar and wind energy integrated with transmission and conventional sources) is a linear programming modeling platform used to examine least cost energy systems designed to meet specific reliability, performance and environmental quality standards. SWITCH is a capacity expansion model that invests in new generation and transmission assets as well as in end-use and demand-side management options (including electrified vehicles and storage) with a high-resolution assessment and planning package to explore the system performance resting from different scenarios. SWITCH was initially developed for California, but has been expanded and refined to explore energy choices across the US West (the WECC, Chile, Nicaragua, China), with future plans to cover the East African Power Pool (EAPP) and India. A wide range of SWITCH publications are in print and in use at various energy, climate, and development agencies.
Please join us when visiting (from Chongqing University) PhD Student Bo Li will discuss the work of the SWITCH-China team in using SWITCH (now available in Python) exploring new Renewable Energy Portfolio Standard (RPS) goals in China (work led by Ziming Ma) and scenarios to transition to China to a EV / H2 transportation led nation. This work launches new set of projects (and talks) on transforming China and neighboring nations on new green energy paths towards the 1.5 Celsius climate objectives.
RAEL and GSPP PhD student Kenji Shiraishi - who was involved in the Fukushima-Daiichi cleanup while employed in the Japanese Ministry the Environment -- will present his work on a new geospatial multi-criteria decision analysis method with spatial regression to identify Japan’s high-quality onshore wind energy potential. After identifying the economic potential of grid-connected onshore wind with a GIS-based multicriteria method, logistic regression and Bayesian Conditional Autoregressive (CAR) regression was used to create a predictive model of overall quality of 4,458 project areas. Other than economic costs, the model showed other physical, environmental, social factors, and spatial heterogeneity are incorporated to rank the overall quality of potential. The results also showed far more high-quality onshore wind potential exists in Japan than the 18 TWh targets in 2030 and necessary policy measurements to utilize the vast potential. This presentation is an excellent introduction to geospatial and economic energy planning and modeling efforts. Kenji is also developing SWITCH-Japan, and may have openings in the design team for students with strong programming and spatial skills. Kenji has also worked on issues of nuclear energy in Japan and Asia, and on energy options for Bangladesh, among other projects. (Pizza and salad will be provided)
Meet the Laos Energy Modeling and Policy Analysis (Undergraduate!) Team: The focus of this inter-disciplinary and inter-university research group is to develop sustainable energy, water, and land-use scenarios for Laos, and to work with local stake-holders on the costs and benefits for communities, the nation, and the regional commerce in energy, water, food, timber and other commodities. Aaditee Kudrimoti Bio: Aaditee is a fourth-year at UC Berkeley studying political science and public policy with a concentration in energy, development, and international relations. Aaditeeis originally from Tucson, Arizona, where she began to develop an interest in international environmental affairs. At UC Berkeley, Aaditeeis working on projects in the political economy of Chinese development finance, rural electrification, and collective action. Aaditeehas become especially interested in how the rise of renewable technology is influencing energy diplomacy around the world. She hopes to pursue a career in academia and public policy and work on governance tools to build the bargaining capacity of LDCs against MNCs, foreign state-owned enterprises, etc. on the subject of FDI and other types of investment. She sees SWITCH-Laos as having the potential to serve as a critical tool in assisting the increase of the Lao people’s bargaining power over FDI in the energy sector and thus their autonomy in determining their own economic development. Outside school, Aaditee’s interests include dance, food journalism, and cooking. Alex Lathem Bio: Alex Lathem is a third-year undergraduate at Yale University. He is a physics major with several years of experience using programming languages, including Python SQL, C, and Bash, to analyze scientific data. Previous research projects Alex has worked on include astrometry of near-Earth asteroids and the creation of a Hubble curve through the analysis of Type Ia supernovae. Alex spent the summer of 2019 working on the SWITCH model for China, and is very excited to apply the skills he learned there to a version for Laos. Outside of research, Alex is also interested in music, video game design, linguistics, and history. Ashley Yip Bio: Ashley is a second-year undergraduate studying environmental science with an emphasis in global politics. She moved to New Mexico, where she developed an interest in environmental affairs. At UC Berkeley, she is involved in a pre-law association that helped her explore her interest in law and how she may integrate that into environmentalism. Off campus, she is working on a sex education reform project in Singapore with the Ministry of Education. She is constantly exploring the intersection between policy, education, and the environment. She hopes to return home to Singapore and pursue a career in international environmental policy or law within Southeast Asia. Ashley chose to work on SWITCH-Laos not only because greening ASEAN's economic development is essential to tackling climate change, but also because she is familiar with the demographic. She has done research in regards to both urban and rural agriculture in Asia and the US, and led research for environmental management in business operations. Outside of school, her interests include climbing, hiking, piano, and camper vans. Rachel Ng Bio: Rachel is a second-year Environmental Science and Data Science major. A Singapore-native, Rachel describes that SWITCH-Laos extremely important to her because it is an important step towards the energy security of Southeast Asia. She believes that the sustainable electrification of Southeast Asia is key to regional grid stability and energy trade. She is pursuing SWITCH-Laos as critical in leading the way towards sustainable electrification. Rachel is interested in the intersectionality between climate change and community, exploring how community based issues caused by climate change can be alleviated through data. Furthermore, Rachel is currently concerned about equal access to education and volunteers weekly as a mentor to elementary school students. In the future, she hopes to return to Singapore and guide environmental change through creating an ecosystem of sustainable communities and businesses. Her hobbies include dance, rock climbing and water sports.