Integrating Real-time Operational Constraints in Planning of Water and Energy Supply

Author(s):  
Negar Vakilifard ◽  
Parisa A. Bahri ◽  
Martin Anda ◽  
Goen Ho
Author(s):  
Nan Zou ◽  
Shu-Ta Yeh ◽  
Gang-Len Chang ◽  
Alvin Marquess ◽  
Michael Zezeski

This paper presents a simulation-based system for Ocean City, Maryland, evacuation during hurricanes. The proposed model features integration of optimization and simulation that allows potential users to revise the optimized plan for both planning and real-time operations. Since it is difficult to capture all network operational constraints and driver responses fully with mathematical formulations, six evacuation plans for Ocean City were investigated. Each was optimized initially with the optimization module and then revised on the basis of the results of simulation evaluation. To address potential incidents during the evacuation, the study presents a real-time operation plan with a developed system that allows the responsible operators to concurrently evaluate all candidate responsive strategies and to track the performance over time of the implemented strategy.


InfoMat ◽  
2020 ◽  
Vol 2 (6) ◽  
pp. 1109-1130 ◽  
Author(s):  
Yongchao Tang ◽  
Xuejin Li ◽  
Haiming Lv ◽  
Wenlong Wang ◽  
Chunyi Zhi ◽  
...  

2007 ◽  
Vol 5 (6) ◽  
pp. 708
Author(s):  
Finn Mc Kenna ◽  
Brian P. O Gallachoir ◽  
Eamon J. McKeogh ◽  
Gordon Lightbody ◽  
Ronan P. Daly

Author(s):  
Tania Binos ◽  
Vince Bruno ◽  
Arthur Adamopoulos

Warehouses are being impacted by increasing e-commerce and omni-channel commerce. The design of current WMSs (Warehouse Management Systems) may not be suitable to this mode of operation. The golden rule of material handling is smooth product flow, but there are day-to-day operational issues that occur in the warehouse that can impact this and order fulfilment, resulting in disruptions. Standard operational process is paramount to warehouse operational control but may preclude a dynamic response to real-time operational constraints. The growth of IoT (Internet of Things) sensor and data analytics technology provide new opportunities for designing warehouse management systems that detect and reorganise around real-time constraints to mitigate the impact of day-to-day warehouse operational issues. This paper presents the design and development stage of a design science methodology of an intelligent agent framework for basic warehouse management systems. This framework is distributed, is structured around operational constraints and includes the human operator at operational and decision support levels. An agent based simulation was built to demonstrate the viability of the framework.


2019 ◽  
Vol 2019 ◽  
pp. 1-18
Author(s):  
Hongjie Wang ◽  
Yan Gao

The real-time pricing mechanism of smart grid based on demand response is an effective means to adjust the balance between energy supply and demand, whose implementation will impact the user's electricity consumption behaviour, the operation, and management in the future power systems. In this paper, we propose a complementarity algorithm to solve the real-time pricing of smart grid. The Karush–Kuhn–Tucker condition is considered in the social welfare maximisation model incorporating load uncertainty to transforming the model into a system of nonsmooth equations with Lagrangian multipliers, i.e., the shadow prices. The shadow price is used to determine the basic price of electricity. The system of nonsmooth equations is a complementarity problem, which enables us to study the existence and uniqueness of the equilibrium price and to design an online distributed algorithm to achieve the equilibrium between energy supply and demand. The proposed method is implemented in a simulation system composed of an energy provider and 100 users. Simulations results show that the proposed algorithm can motivate the users’ enthusiasm to participate in the demand side management and shift the peak loading. Furthermore, the proposed algorithm can improve the supply shortage. When compared with an online distributed algorithm based on the dual optimisation method, the proposed algorithm has a significantly lower running time and more accurate Lagrangian multipliers.


Energies ◽  
2020 ◽  
Vol 13 (11) ◽  
pp. 2908
Author(s):  
Aidong Zeng ◽  
Sipeng Hao ◽  
Jia Ning ◽  
Qingshan Xu ◽  
Ling Jiang

A real-time error correction operation model for an integrated energy system is proposed in this paper, based on the analysis of the real-time optimized operation structure of an integrated energy system and the characteristics of the system. The model makes real-time corrections to the day-ahead operation strategy of the integrated energy system, to offset forecast errors from the renewable power generation system and multi-energy load system. When unbalanced power occurs in the system due to prediction errors, the model comprehensively considers the total capacity of each energy supply and energy storage equipment, adjustable margin, power climbing speed and adjustment cost, to formulate the droop rate which determines the unbalanced power that each device will undertake at the next time interval, while taking the day-ahead dispatching goals of the system into consideration. The case study shows that the dispatching strategy obtained by the real-time error correction operation model makes the power output change trend of the energy supply equipment consistent with the day-ahead dispatching plan at the next time interval, which ensures the safety, stability and economy of the real-time operation of the integrated energy system.


2014 ◽  
Vol 629 ◽  
pp. 327-332 ◽  
Author(s):  
Alessandro Gardi ◽  
Roberto Sabatini ◽  
Subramanian Ramasamy ◽  
Trevor Kistan

This paper presents models and algorithms for real-time 4-Dimensional Flight Trajectory (4DT) operations in the next generation Communications, Navigation, Surveillance/Air Traffic Management (CNS/ATM) systems. In particular, the models are employed for multi-objective optimisation of 4DT intents in ground-based 4DT Planning, Negotiation and Validation (4-PNV) systems and in airborne Next Generation Flight Management Systems (NG-FMS). The assumed timeframe convention for offline and online air traffic operations is introduced and discussed. The adopted formulation of the multi-objective 4DT optimisation problem includes a number of environmental objectives and operational constraints. In particular, the paper describes a real-time multi-objective optimisation algorithm and the generalised expression of cost function adopted for penalties associated with specific airspace volumes, accounting for weather models, condensation trails models and noise models.


2018 ◽  
Vol 931 ◽  
pp. 905-909 ◽  
Author(s):  
Elena G. Malyavina

The solution of the problem of joint cooling of the building and its water heating system, in case of the thermal energy supply termination, is relevant, since only it can determine the real time available to repair crews to restore the operation of the heating system of each object. The article gives a brief description of the algorithms for calculating the non-stationary hydraulic and thermal regime of the heating system and the algorithm for calculating the non-stationary thermal regime of the building. The joint implementation of both algorithms is based on taking into account the influence of the thermal regime of the system and the building on each other at each time step. Linking of thermal processes in a heating system and in a building is carried out taking into account in their thermal balances of the same quantity of heat flowing for a step on time from a heating system element to the room or vice versa. Calculations on the proposed PC program investigated the influence of different factors on the cooling time of the heating system and the whole building.


Sign in / Sign up

Export Citation Format

Share Document