PPT-Dealing with Uncertainty in Energy Systems Models

Overview Intro SATIM UNEP Project SATIMMC MAPS Project SATIMSP ERCs Bread n Butter Model SATIM South African TIMES Model Deterministic Least Cost Planning Model Similar to Model used for IRPIEP. Prof . Erik Dahlquist. Malardalen . University. e. rik.dahlquist@mdh.se. Objectives. The . aim. of . this. . application. is . to. . build. a . foundation. of . mathematical. . tools. for . application. By: . Harleen. . Kaur. Lecturer in Physics. P.G.G.C.G.. Sector-11, Chandigarh.. Smart Grids - A Grand Challenge for Complex Engineering Systems. Adrian V. Gheorghe. C4UC and Old . Dominion University. Norfolk, . Virginia. Assisted by Hal Warren. The Electrical Grid: A Large, Fragmented, . Lesson 1.4. Chapter 1: Using Scientific Inquiry. Interactive Science Grade 8, Pearson Education Inc., Upper Saddle River, New Jersey. Objectives. Explain how models are used in science.. Describe different types of systems, and identify characteristics that all systems share.. for S2D forecasting. EUPORIAS wp31. Nov 2012, Ronald Hutjes. Background. S2D impact prediction. Uncertainty explosion / Skill implosion ??. SST. Weather. (Downscaling). Soil moisture. Plant productivity. An Evaluation of Development Viability. Peter Byrne. Pat McAllister. Peter Wyatt. www.henley.reading.ac.uk/rep/fulltxt/0810.pdf. Structure. Main Research questions. Background and context. Current practice. Stanford University, USA. A strategy for managing uncertainty. Importance of uncertainty and risk. New well planned. P1. P2. P3. P4. West-Coast Africa (WCA) slope-valley system. Data courtesy of Chevron. environmental research. Liew Xuan Qi (A0157765N). Cheong Hui Ping (A0127945W). Hong Chuan Yin (A0155305M). Best Practice Approaches for Characterizing, Communicating, and Incorporating Scientific Uncertainty in Climate Decision Making. What is Three-Dimensional Learning?. Three-dimensional learning shifts the focus of the science classroom to environments where . students. use core ideas, crosscutting concepts with scientific practices to . Fernanda . Alvarez-Mendoza. a. , César . Angeles-Camacho. a. , . Peder. . Bacher. b. , . Henrik. . Madsen. b. a. Instituto de Ingeniería UNAM. ,. b. . DTU . Compute. Content. Generation . tendencies. How can we use models to help us think about electricity? Key terms : c urrent, c onductor, insulator 26 February 2018 Secure: Exceed: Develop: I can use a model to describe how an electrical circuit works Objective. The Los Alamos Sea Ice model has a number of input parameters for which accurate values are not always well established. . We conduct a variance-based sensitivity analysis . of hemispheric sea ice properties to 39 input parameters. The method accounts for non-linear and non-additive effects in the model.. 1. ERiMA. : . Envisioning Risk Models for Assessment of AI-based applications.. 2. Dr Huma Samin. 1. Post Doctoral Research Associate Computer Science. Durham University, UK. huma.samin@durham.ac.uk. An Evaluation of Development Viability. Peter Byrne. Pat McAllister. Peter Wyatt. www.henley.reading.ac.uk/rep/fulltxt/0810.pdf. Structure. Main Research questions. Background and context. Current practice.