TY - CHAP A1 - Schwarz, R. A1 - Lacalandra, F. A1 - Schewe, L. A1 - Bettinelli, A. A1 - Vigo, D. A1 - Bischi, A. A1 - Parriani, T. A1 - Martelli, E. A1 - Vuik, K. A1 - Lenz, R. A1 - Madsen, H. A1 - Blanco, I. A1 - Guericke, D. A1 - Yüksel-Ergün, I. A1 - Zittel, J. T1 - Network and Storage T2 - Mathematical Optimization for Efficient and Robust Energy Networks N2 - Natural gas is considered by many to be the most important energy source for the future. The objectives of energy commodities strategic problems can be mainly related to natural gas and deal with the definition of the “optimal” gas pipelines design which includes a number of related sub problems such as: Gas stations (compression) location and Gas storage locations, as well as compression station design and optimal operation. Y1 - 2020 SN - 978-3-030-57442-0 U6 - https://doi.org/https://doi.org/10.1007/978-3-030-57442-0_6 VL - 4 PB - Springer ER - TY - CHAP A1 - Diekerhof, M. A1 - Monti, A. A1 - Lebedeva, E. A1 - Tkaczyk, A. H. A1 - Yüksel-Ergün, I. A1 - Zittel, J. A1 - Escudero, L. F. A1 - Soroudi, A. A1 - Helmberg, C. A1 - Kanovíc, Ž. A1 - Petkovic, M. A1 - Lacalandra, F. A1 - Frangioni, A. A1 - Lee, J. A1 - De Filippo, A. A1 - Lombardi, M. A1 - Milano, M. A1 - Ezran, P. A1 - Haddad, Y. T1 - Production and Demand Management T2 - Mathematical Optimization for Efficient and Robust Energy Networks N2 - Demand Side Management (DSM) is usually considered as a process of energy consumption shifting from peak hours to off-peak times. DSM does not always reduce total energy consumption, but it helps to meet energy demand and supply. For example, it balances variable generation from renewables (such as solar and wind) when energy demand differs from renewable generation. Y1 - 2020 SN - 978-3-030-57442-0 U6 - https://doi.org/https://doi.org/10.1007/978-3-030-57442-0_1 VL - 4 PB - Springer ER -