Production and Demand Management

C.  D’Ambrosio; F.  Lacalandra; J.  Lellep; K.  Vuik; A.  Bischi; T.  Parriani; E.  Martelli; E.  De Klerk; A.  Marandi; Lars Schewe

doi:10.1007/978-3-030-57442-0_5

Production and Demand Management

C. D’Ambrosio, F. Lacalandra, J. Lellep, K. Vuik, A. Bischi, T. Parriani, E. Martelli, E. De Klerk, A. Marandi, Lars Schewe

School of Mathematics

Research output: Chapter in Book/Report/Conference proceeding › Chapter

Abstract / Description of output

This Chapter ranges through a wide variety of production and demand management problems related to energy commodities systems. The Oil and Gas production enhancement is discussed via oil wells optimal placement as well as water and gas optimal injection, namely waterflooding and gas lift. Further is analyzed the optimal schedule and design of commodities generation in energy hubs and combined cooling, heat and power systems, reaching finally the chemical processes where the specification of the products is taken into account, with mixing tanks, pools, and blending points. Overall, each of these problems is qualitatively discussed identifying the typical objective functions, variables and constraints generalizing its structure, the problem typology is identified as well as the most common methods to solve it.

Original language	English
Title of host publication	Mathematical Optimization for Efficient and Robust Energy Networks
Publisher	Springer
Pages	79-87
ISBN (Electronic)	978-3-030-57442-0
ISBN (Print)	978-3-030-57441-3
DOIs	https://doi.org/10.1007/978-3-030-57442-0_5
Publication status	E-pub ahead of print - 16 Dec 2020

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title = "Production and Demand Management",

abstract = "This Chapter ranges through a wide variety of production and demand management problems related to energy commodities systems. The Oil and Gas production enhancement is discussed via oil wells optimal placement as well as water and gas optimal injection, namely waterflooding and gas lift. Further is analyzed the optimal schedule and design of commodities generation in energy hubs and combined cooling, heat and power systems, reaching finally the chemical processes where the specification of the products is taken into account, with mixing tanks, pools, and blending points. Overall, each of these problems is qualitatively discussed identifying the typical objective functions, variables and constraints generalizing its structure, the problem typology is identified as well as the most common methods to solve it.",

author = "C. D{\textquoteright}Ambrosio and F. Lacalandra and J. Lellep and K. Vuik and A. Bischi and T. Parriani and E. Martelli and {De Klerk}, E. and A. Marandi and Lars Schewe",

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TY - CHAP

T1 - Production and Demand Management

AU - D’Ambrosio, C.

AU - Lacalandra, F.

AU - Lellep, J.

AU - Vuik, K.

AU - Bischi, A.

AU - Parriani, T.

AU - Martelli, E.

AU - De Klerk, E.

AU - Marandi, A.

AU - Schewe, Lars

PY - 2020/12/16

Y1 - 2020/12/16

N2 - This Chapter ranges through a wide variety of production and demand management problems related to energy commodities systems. The Oil and Gas production enhancement is discussed via oil wells optimal placement as well as water and gas optimal injection, namely waterflooding and gas lift. Further is analyzed the optimal schedule and design of commodities generation in energy hubs and combined cooling, heat and power systems, reaching finally the chemical processes where the specification of the products is taken into account, with mixing tanks, pools, and blending points. Overall, each of these problems is qualitatively discussed identifying the typical objective functions, variables and constraints generalizing its structure, the problem typology is identified as well as the most common methods to solve it.

AB - This Chapter ranges through a wide variety of production and demand management problems related to energy commodities systems. The Oil and Gas production enhancement is discussed via oil wells optimal placement as well as water and gas optimal injection, namely waterflooding and gas lift. Further is analyzed the optimal schedule and design of commodities generation in energy hubs and combined cooling, heat and power systems, reaching finally the chemical processes where the specification of the products is taken into account, with mixing tanks, pools, and blending points. Overall, each of these problems is qualitatively discussed identifying the typical objective functions, variables and constraints generalizing its structure, the problem typology is identified as well as the most common methods to solve it.

U2 - 10.1007/978-3-030-57442-0_5

DO - 10.1007/978-3-030-57442-0_5

M3 - Chapter

SN - 978-3-030-57441-3

SP - 79

EP - 87

BT - Mathematical Optimization for Efficient and Robust Energy Networks

PB - Springer

ER -

Production and Demand Management

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