ASHRAE HVAC APPLICATIONS IP CH 42-2015 SUPERVISORY CONTROL STRATEGIES AND OPTIMIZATION.pdf
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1、42.1CHAPTER 42SUPERVISORY CONTROL STRATEGIES AND OPTIMIZATIONTERMINOLOGY 42.1METHODS. 42.3Control Variables . 42.3Supervisory Control Strategies 42.4Static Optimization 42.4Dynamic Optimization . 42.5CONTROL STRATEGIES AND OPTIMIZATION FOR COOLING SYSTEMS 42.8Control Strategies for Cooling Tower Fan
2、s . 42.8Chilled-Water Reset with Fixed-Speed Pumping . 42.12Chilled-Water Reset with Variable-Speed Pumping. 42.13Sequencing and Loading Multiple Chillers 42.16Simplified Static Optimization of Cooling Plants 42.21Dynamic Optimization for Cooling Using Discrete Storage 42.27Dynamic Optimization for
3、Cooling Using Thermal Mass or Tabs. 42.31Forecasting Diurnal Cooling and Whole-Building Demand Profiles . 42.36Black-Box Predictive Cooling Control Strategies 42.38Control Strategies for Heating Systems 42.39Control Strategies for Air-Handling Units. 42.42Control Strategies for Building Zones 42.43O
4、MPUTERIZED building and energy management and con-Ctrol systems provide a variety of effective ways to reduce utilitycosts and energy consumption associated with maintaining environ-mental conditions and thermal comfort in buildings. These systemscan incorporate advanced control strategies that resp
5、ond to inputsincluding changing weather, building conditions, occupancy levelsand utility rates to minimize operating costs, energy consumptionand greenhouse gas emissions while also enhancing occupant com-fort. This chapter focuses on the opportunities and control strategiesassociated with using su
6、pervisory control strategies and optimizationmethods applied to cooling systems, heating systems, air handlingunits and zone equipment.HVAC and other building energy systems are typically controlledusing a hierarchical control structure where two or more levels ofcontrol, from local through to super
7、visory level, are combined toform a sophisticated control system designed to achieve particularhigh-level functions or objectives, such as maintaining temperaturewithin a space. With this control philosophy, controller intelligenceincreases from lower to higher levels within the hierarchy. The low-e
8、st control level typically exists only to provide local-loop controlof a single set point through manipulation of an actuator. For exam-ple, the supply air temperature discharged from a cooling coil is con-trolled by adjusting the opening of a valve that provides chilled waterto the coil. The upper
9、control level, typically called supervisorycontrol, specifies the set points and other modes of operation that aretime dependent. System performance monitoring capabilities mayalso be provided at this level. Ideally, the supervisory control levelwould determine optimal set points and operating modes
10、 that mini-mize operating cost and/or energy consumption, maximize comfort,and may also identify potential faults or alarms in the control system.Distributed control structures have also been applied to buildingenergy systems, although further research is required to determinetheir efficacy and the
11、benefits they may provide over more tradi-tional and well-understood control systems.Performance of large, commercial HVAC systems can be im-proved through better local-loop and supervisory control. Proper tun-ing of local-loop controllers can enhance comfort, reduce energy use,and increase componen
12、t life. Systems that are properly commis-sioned or tuned, such as through a recommissioning process or theuse of automated fault detection and diagnostics software, ensure thattheoretical performance gains from supervisory control strategies arerealized. Set points and operating modes for cooling or
13、 heating plantequipment can be adjusted by supervisory control strategies or staticoptimization to maximize overall operating efficiency. Dynamicoptimization strategies for ice or chilled-water storage systems cansignificantly reduce on-peak electrical energy and demand costs tominimize total utilit
14、y costs. Similarly, thermal storage inherent in abuildings structure can be dynamically controlled to minimize utilitycosts, for example, with the use of thermally activated building sys-tems (TABS). In general, strategies that take advantage of thermalstorage work best when dynamic optimization is
15、applied using fore-casts of future energy requirements.Significant increases in computational power and communica-tions capabilities mean that both supervisory and distributed controlsystems are now able to incorporate many new data streams and si-multaneously co-optimize a number of performance met
16、rics. Ratherthan simply regulating temperature, the supervisory control systemmay manage thermal comfort while minimizing utility cost, energyconsumption, and greenhouse gas emissions. Ubiquitous consumerelectronics, such as smart phones, tablets, and laptops, mean that di-rect feedback of occupant
17、preferences may be obtained rather thanrelying on inferred statistical models. Building thermal response andinternal gain forecast models (e.g., learned by the controller) allowoptimal start-up, night-purge, and economy modes as well as poten-tial participation in utility demand response programs an
18、d cost re-ductions in demand and capacity charges.Where resources are constrained by equipment sizing, mainte-nance, or imposed through energy targets or demand charges, a coor-dinated approach to resource allocation is required to ensure anequitable balance of comfort for all building occupants. Th
19、is isincreasingly likely to be an important control scheme design consid-eration with increased focus on energy efficiency, demand response,and the uptake of intermittent renewable generation, requiringenergy users to respond to resource variability. New energy pricingmodels will substantially rewar
20、d users who have this flexibility, butmay also adversely impact those without the capability to dynami-cally manage loads.1. TERMINOLOGYAir distribution system: includes terminal units variable-air-volume (VAV) boxes, etc., air-handling units (AHUs), ducts, andcontrols. In each AHU, ventilation air
21、is mixed with return air fromthe zones and fed to the cooling/heating coil.Air-side economizer control: used to select between minimumand maximum ventilation air, depending on the condition of theThe preparation of this chapter is assigned to TC 7.5, Smart BuildingSystems.42.2 2015 ASHRAE HandbookHV
22、AC Applicationsoutdoor air relative to the conditions of the return air. Under certainoutdoor air conditions, AHU dampers may be modulated to providea mixed air condition that can satisfy the cooling load without theneed for mechanical cooling.Building thermal mass storage: storing energy in the for
23、m ofsensible heat in building materials, interior equipment, and furnish-ings.Capacity: Heating or cooling output at design or rating condi-tion or, in certain contexts, at current operating condition.CAV systems: air-handling systems that have fixed-speed fans andprovide no feedback control of airf
24、low to the zones. Zone tempera-ture is controlled to a set point using a feedback controller that reg-ulates the amount of local reheat applied to the air entering each zone.Charging: storing cooling capacity by removing heat from acool storage device; or storing heating capacity by adding heat to a
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