|Title||Applications of Optimal Building Energy System Selection and Operation|
|Publication Type||Journal Article|
|Year of Publication||2013|
|Authors||Chris Marnay, Michael Stadler, Afzal S Siddiqui, Nicholas DeForest, Jonathan Donadee, Prajesh Bhattacharya, Judy Lai|
|Journal||Institution of Mechanical Engineers Journal of Power and Energy|
|Keywords||batteries, building systems scheduling, mixed integer linear programming, optimisation, pv, solar thermal|
Berkeley Lab has been developing the Distributed Energy Resources Customer Adoption Model (DER-CAM) for several years. Given load curves for energy services requirements in a building microgrid (µ⋅grid), fuel costs and other economic inputs, and a menu of available technologies, DER-CAM finds the optimum equipment fleet and operating schedule. This capability is being applied using a software as a service (SaaS) model. The evolution of this approach is demonstrated by description of four past and present projects: (1) a public access web site focused on solar photovoltaic generation and battery viability for large non-residential customers, (2) a building CO2 emissions reduction operations problem for a university dining hall with potential investments considered, (3) a battery selection problem and a rolling operating schedule problem for a large County jail, and (4) the direct control of the solar-assisted heating ventilation and air conditioning system of a university building by providing optimised daily schedules that are automatically implemented in the building’s energy management and control system. Together these examples show that optimisation of building µ⋅grid design and operation can be effectively achieved using SaaS.
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