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2. 2. FEMP facilitates the Federal Government's implementation of sound, cost-effective energy management
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Andy Walker
Principal Engineer
National Renewable Energy Laboratory
Andy.Walker@nrel.gov
Key talking points:
Key talking points:
2. 2
3. 3 REO Team Andy Walker, PI
Billy Roberts, GIS
Claire Kreycik, Incentives
Grace Griego, Reports
Chris Helm, Software Development
Dan Bilello, Donna Heimiller, Jim Leyshon
Kate Anderson
4. 4 Purpose of REO To identify and prioritize RE Project Opportunities
To estimate magnitude of cost and savings at each.
Project Pipeline:
Screening (REO)
Feasibility Studies
Procurement Specifications and Financing
Contract and administration
Acceptance testing and commissioning
5. 5 Renewable Energy Technologies Photovoltaics
6. 6 Best Mix of Renewable Energy Technologies Depends on: Renewable Energy Resources
Technology Characterization
Cost ($/kW installed, O&M Cost)
Performance (efficiency)
Economic Parameters
Discount rates
Fuel Escalation Rates
State, Utility and Federal Incentives
Mandates (Executive Order, Legislation)
7. 7 Optimization Procedure
8. 8 Site Information Building name
Location
Square Footage
Number of Floors
Use and cost of utilities
Ventilation Rates
Lighting Levels
Hot Water Use
9. 9 Renewable Energy ResourcesGeographical Information System (GIS) Datasets NREL Datasets:
solar radiation 10x10 km grid
Horizontal, South-facing vertical, tilt=latitude
Wind Energy 200mx1000m grid
Biomass Resources
Illuminance for Daylighting
Temperature and Heating Degree Days
Purchased Datasets
utility rates (wholesale/retail) for each service territory and customer class (residential, industrial, commercial) (Platts)
State and utility incentives and utility policy (from www.DSIREUSA.org)
City Cost Adjustments (RS Means & Co.)
Location Independent
Installed Hardware Costs from NREL technology databook
Economic Parameters (discount rate, inflation rate)
10. 10 Example of NREL GIS DataWind Energy in vicinity of Fairfield CA This is an example of what our GIS information for the wind resource looks like. This is an example of what our GIS information for the wind resource looks like.
11. 11 Technology CharacteristicsHeuristic Models Cost
(Size, m2)*(Unit Cost, $/m2)
Performance
(Size, m2)*(Resource, kWh/m2)*(efficiency)
12. 12 Technology Characteristics: Photovoltaics
13. 13 Technology Characteristics:Wind Power
14. 14 Technology Characteristics: Solar Water Heating
15. 15 Technology Characteristics: Solar Ventilation Air Preheat
16. 16 Technology Characteristics: Concentrating Solar Heat/Power
17. 17 Technology CharacterizationBiomass Heat and Electricity
18. 18 Technology Characteristics: Daylighting
19. 19 Integration of multiple projects… kWh from utility = kWh load – kWh renewables
20. 20 Two approaches to integration: Time Series. Identify state of system at each time step, and step through time series (8,760 hours/year) to perform integration.
Eg: HOMER, SAM, IMBY, PVWatts, etc.
Polynomial Expansion: Identify states that system could be in and calculate percentage of time system is in that state. Time period is arbitrary, currently 24 time periods used to represent year (January day, January night, February day, etc etc.)
Eg. REO
21. 21 Stochastic Integration of Renewable Energy Technologies by the method of Polynomial Expansion (SIRET)
22. 22 Stochastic Integration of Renewables by method of Polynomial Expansion or…”Mind your P’s and Q’s…”
Any number of states, any number of technologies
Consider two states (p=fraction time on, q=fraction time off) over time period T for 7 technologies
(p + q) = 1
1*1*1*1*1*1*1=1
(p1+q1)*(p2+q2)*(p3+q3)*(p4+q4)*(p5+q5)*(p6+q6)*(p7+q7)=1
23. 23 (p7*p6*p5*p4*p3*p2*p1)+(p7*p6*p5*p4*p3*p2*q1)+(p7*p6*p5*p4*p3*q2*p1)+(p7*p6*p5*p4*p3*q2*q1)+(p7*p6*p5*p4*q3*p2*p1)+(p7*p6*p5*p4*q3*p2*q1)+(p7*p6*p5*p4*q3*q2*p1)+(p7*p6*p5*p4*q3*q2*q1)+(p7*p6*p5*q4*p3*p2*p1)+(p7*p6*p5*q4*p3*p2*q1)+(p7*p6*p5*q4*p3*q2*p1)+(p7*p6*p5*q4*p3*q2*q1)+(p7*p6*p5*q4*q3*p2*p1)+(p7*p6*p5*q4*q3*p2*q1)+(p7*p6*p5*q4*q3*q2*p1)+(p7*p6*p5*q4*q3*q2*q1)+(p7*p6*q5*p4*p3*p2*p1)+(p7*p6*q5*p4*p3*p2*q1)+(p7*p6*q5*p4*p3*q2*p1)+(p7*p6*q5*p4*p3*q2*q1)+(p7*p6*q5*p4*q3*p2*p1)+(p7*p6*q5*p4*q3*p2*q1)+(p7*p6*q5*p4*q3*q2*p1)+(p7*p6*q5*p4*q3*q2*q1)+(p7*p6*q5*q4*p3*p2*p1)+(p7*p6*q5*q4*p3*p2*q1)+(p7*p6*q5*q4*p3*q2*p1)+(p7*p6*q5*q4*p3*q2*q1)+(p7*p6*q5*q4*q3*p2*p1)+(p7*p6*q5*q4*q3*p2*q1)+(p7*p6*q5*q4*q3*q2*p1)+(p7*p6*q5*q4*q3*q2*q1)+(p7*q6*p5*p4*p3*p2*p1)+(p7*q6*p5*p4*p3*p2*q1)+(p7*q6*p5*p4*p3*q2*p1)+(p7*q6*p5*p4*p3*q2*q1)+(p7*q6*p5*p4*q3*p2*p1)+(p7*q6*p5*p4*q3*p2*q1)+(p7*q6*p5*p4*q3*q2*p1)+(p7*q6*p5*p4*q3*q2*q1)+(p7*q6*p5*q4*p3*p2*p1)+(p7*q6*p5*q4*p3*p2*q1)+(p7*q6*p5*q4*p3*q2*p1)+(p7*q6*p5*q4*p3*q2*q1)+(p7*q6*p5*q4*q3*p2*p1)+(p7*q6*p5*q4*q3*p2*q1)+(p7*q6*p5*q4*q3*q2*p1)+(p7*q6*p5*q4*q3*q2*q1)+(p7*q6*q5*p4*p3*p2*p1)+(p7*q6*q5*p4*p3*p2*q1)+(p7*q6*q5*p4*p3*q2*p1)+(p7*q6*q5*p4*p3*q2*q1)+(p7*q6*q5*p4*q3*p2*p1)+(p7*q6*q5*p4*q3*p2*q1)+(p7*q6*q5*p4*q3*q2*p1)+(p7*q6*q5*p4*q3*q2*q1)+(p7*q6*q5*q4*p3*p2*p1)+(p7*q6*q5*q4*p3*p2*q1)+(p7*q6*q5*q4*p3*q2*p1)+(p7*q6*q5*q4*p3*q2*q1)+(p7*q6*q5*q4*q3*p2*p1)+(p7*q6*q5*q4*q3*p2*q1)+(p7*q6*q5*q4*q3*q2*p1)+(p7*q6*q5*q4*q3*q2*q1)+(q7*p6*p5*p4*p3*p2*p1)+(q7*p6*p5*p4*p3*p2*q1)+(q7*p6*p5*p4*p3*q2*p1)+(q7*p6*p5*p4*p3*q2*q1)+(q7*p6*p5*p4*q3*p2*p1)+(q7*p6*p5*p4*q3*p2*q1)+(q7*p6*p5*p4*q3*q2*p1)+(q7*p6*p5*p4*q3*q2*q1)+(q7*p6*p5*q4*p3*p2*p1)+(q7*p6*p5*q4*p3*p2*q1)+(q7*p6*p5*q4*p3*q2*p1)+(q7*p6*p5*q4*p3*q2*q1)+(q7*p6*p5*q4*q3*p2*p1)+(q7*p6*p5*q4*q3*p2*q1)+(q7*p6*p5*q4*q3*q2*p1)+(q7*p6*p5*q4*q3*q2*q1)+(q7*p6*q5*p4*p3*p2*p1)+(q7*p6*q5*p4*p3*p2*q1)+(q7*p6*q5*p4*p3*q2*p1)+(q7*p6*q5*p4*p3*q2*q1)+(q7*p6*q5*p4*q3*p2*p1)+(q7*p6*q5*p4*q3*p2*q1)+(q7*p6*q5*p4*q3*q2*p1)+(q7*p6*q5*p4*q3*q2*q1)+(q7*p6*q5*q4*p3*p2*p1)+(q7*p6*q5*q4*p3*p2*q1)+(q7*p6*q5*q4*p3*q2*p1)+(q7*p6*q5*q4*p3*q2*q1)+(q7*p6*q5*q4*q3*p2*p1)+(q7*p6*q5*q4*q3*p2*q1)+(q7*p6*q5*q4*q3*q2*p1)+(q7*p6*q5*q4*q3*q2*q1)+(q7*q6*p5*p4*p3*p2*p1)+(q7*q6*p5*p4*p3*p2*q1)+(q7*q6*p5*p4*p3*q2*p1)+(q7*q6*p5*p4*p3*q2*q1)+(q7*q6*p5*p4*q3*p2*p1)+(q7*q6*p5*p4*q3*p2*q1)+(q7*q6*p5*p4*q3*q2*p1)+(q7*q6*p5*p4*q3*q2*q1)+(q7*q6*p5*q4*p3*p2*p1)+(q7*q6*p5*q4*p3*p2*q1)+(q7*q6*p5*q4*p3*q2*p1)+(q7*q6*p5*q4*p3*q2*q1)+(q7*q6*p5*q4*q3*p2*p1)+(q7*q6*p5*q4*q3*p2*q1)+(q7*q6*p5*q4*q3*q2*p1)+(q7*q6*p5*q4*q3*q2*q1)+(q7*q6*q5*p4*p3*p2*p1)+(q7*q6*q5*p4*p3*p2*q1)+(q7*q6*q5*p4*p3*q2*p1)+(q7*q6*q5*p4*p3*q2*q1)+(q7*q6*q5*p4*q3*p2*p1)+(q7*q6*q5*p4*q3*p2*q1)+(q7*q6*q5*p4*q3*q2*p1)+(q7*q6*q5*p4*q3*q2*q1)+(q7*q6*q5*q4*p3*p2*p1)+(q7*q6*q5*q4*p3*p2*q1)+(q7*q6*q5*q4*p3*q2*p1)+(q7*q6*q5*q4*p3*q2*q1)+(q7*q6*q5*q4*q3*p2*p1)+(q7*q6*q5*q4*q3*p2*q1)+(q7*q6*q5*q4*q3*q2*p1)+(q7*q6*q5*q4*q3*q2*q1) =1
24. 24 Life Cycle Cost Analysis Sum of 25 years (or 40) of cash flows
Initial costs
Minus any rebates, tax credits, etc.
Electric, Gas, and Biomass Fuel Costs
Escalated at NIST rates
Operation and Maintenance Costs
Escalated at general inflation
Production Incentives
Accelerated Depreciation
Future costs are discounted to present value based on discount rate
25. 25 Optimization Problem Determine the least cost
combination of renewable
energy technologies for a
facility
Objective: Minimize Life Cycle Cost ($)
Variables: Size of Each Technology (kW of PV, kW of wind, etc)
Constraints: such as 15% of energy from renewables
26. 26 Comparison of TEAM REO and Site Visit Reports for DOE Sites
27. 27 Compare/Contrast with Hourly Simulation
28. 28
29. 29 Completed REO Analyses Multiple Buildings at one site:
Town of Greensburg, KS
National Zoo, DC
High School in Sun Valley, ID
San Nicolas Island, CA
DOE Waste Isolation Pilot Plant, NM
DOE Savannah River Plant SC
Pacific Missile Range Facility, HI
Presidio of San Francisco CA
Multiple Sites:
7 Frito Lay North America plants
62 Anheuser Busch facilities
8 Agricultural Research Stations in TX
31 DOE Laboratories
85 Air Force Bases
121 GSA Land Ports of Entry
32 DHS Land Ports of Entry
3 USCG Bases
30. 30 Results of Renewable Energy Optimization:Technology Sizes
31. 31 Annual Energy from Each Technology (with Basecase)
32. 32 Initial Costs for Each Technology
33. 33 Photovoltaics not cost effectivedemonstration on school only
34. 34 Wind Energy
35. 35 Solar Ventilation Air Preheating
36. 36 Solar Water Heating
37. 37 Biomass Energy
38. 38 Daylighting
39. 39 Life Cycle Cost of Renewable Energy Case versus BaseCase
40. 40 REO Example: Frito Lay North AmericaMinimum Life Cycle Cost (no constraints) NREL first provided this service to Frito Lay North America. We have been working with the EPA climate leaders and tracking every one of our 34 plants on how we're doing. Since 2000 we've decreased electricity by 21 percent, water by 35 percent and fuels by 24 percent. But as the saying goes, you can’t save yourself rich and we asked NREL to evaluate renewable energy opportunities at 7 plants. This figure shows the results of this study, which is just minimizing life cycle cost without any percent renewable energy constraint. There are two bars for each plant. The first bar is the basecase and the dark grey is electric and the light grey is natural gas. The second bar for each plant is the Renewable Energy Case where some of the conventional energy use has been replaced with renewable energy. Biomass and solar thermal are very visible in the chart but there are other measures which are also in the solution but two small to see. NREL first provided this service to Frito Lay North America. We have been working with the EPA climate leaders and tracking every one of our 34 plants on how we're doing. Since 2000 we've decreased electricity by 21 percent, water by 35 percent and fuels by 24 percent. But as the saying goes, you can’t save yourself rich and we asked NREL to evaluate renewable energy opportunities at 7 plants. This figure shows the results of this study, which is just minimizing life cycle cost without any percent renewable energy constraint. There are two bars for each plant. The first bar is the basecase and the dark grey is electric and the light grey is natural gas. The second bar for each plant is the Renewable Energy Case where some of the conventional energy use has been replaced with renewable energy. Biomass and solar thermal are very visible in the chart but there are other measures which are also in the solution but two small to see.
41. 41 Frito Lay North AmericaSolar Thermal at Sunchips Plant Modesto CA I’d like to elaborate on some of the renewable energy projects that we are doing on our facilities. We have five large distribution centers in California that are using photovoltaic cells. And these photos are of a solar thermal plant which we are just completing in Modesto CA. There are five acres of solar concentrators, 54,000 square feet of concave mirrors, to superheat pressurized water to over 500 degrees. We use the steam from that to cook the oil to make SUNCHIPS. NREL provided some technical assistance to this project by doing an independent savings estimate and we’d like to keep them involved as we make sure we’re getting the best performance that we can out of the system. I’d like to elaborate on some of the renewable energy projects that we are doing on our facilities. We have five large distribution centers in California that are using photovoltaic cells. And these photos are of a solar thermal plant which we are just completing in Modesto CA. There are five acres of solar concentrators, 54,000 square feet of concave mirrors, to superheat pressurized water to over 500 degrees. We use the steam from that to cook the oil to make SUNCHIPS. NREL provided some technical assistance to this project by doing an independent savings estimate and we’d like to keep them involved as we make sure we’re getting the best performance that we can out of the system.
42. 42 REO Example: Frito Lay North AmericaMinimum Life Cycle Cost (Net Zero constraint) Then we asked NREL to add the constraint of net zero utility energy use and we came up with a different solution. Still lots of boimass and solar thermal but now you can see big wind energy in the solution. Building measures such as daylighting and solar ventilation air preheating are also in the solution but the building loads are so small compared to the industrial process that they don’t show up in this graph of annual energy delivery.Then we asked NREL to add the constraint of net zero utility energy use and we came up with a different solution. Still lots of boimass and solar thermal but now you can see big wind energy in the solution. Building measures such as daylighting and solar ventilation air preheating are also in the solution but the building loads are so small compared to the industrial process that they don’t show up in this graph of annual energy delivery.
43. 43 On Nov 15 2007 Frito Lay announced our plans to take that plant to Net Zero, and we plan to do so through a combination of solar thermal and biomass energy. On Nov 15 2007 Frito Lay announced our plans to take that plant to Net Zero, and we plan to do so through a combination of solar thermal and biomass energy.
44. 44 REO Example: Frito Lay Optimization for Seven Manufacturing PlantsConstraint: Net Zero Here are the sizes of each renewable energy component corresponding to the net zero solution for each plant. The Photovoltaics are totally driven by incentives. In Arizona there is 200 kW limit on the incentive so that’s the optimal size for Plant #1. In California there is a 1000 kW limit and you can see that Plants 4 and 5 are close to 1000 kW for that reason. The fact that they are not exactly 1000 shows you how much slop is in the optimization algorithm. Since we use a lot of process steam, solar thermal parabolic troughs and biomass turned out to be the most economical way for us to get to net zero for almost all of these plants. Here are the sizes of each renewable energy component corresponding to the net zero solution for each plant. The Photovoltaics are totally driven by incentives. In Arizona there is 200 kW limit on the incentive so that’s the optimal size for Plant #1. In California there is a 1000 kW limit and you can see that Plants 4 and 5 are close to 1000 kW for that reason. The fact that they are not exactly 1000 shows you how much slop is in the optimization algorithm. Since we use a lot of process steam, solar thermal parabolic troughs and biomass turned out to be the most economical way for us to get to net zero for almost all of these plants.
45. 45
46. 46 REO Example: Net Zero ZooNational Zoological Park (NZP) and Conservation Research Center (CRC), Washington DC
47. 47 USCG FacilityDiamond Head, HIwith incentives
48. 48 31 DOE Sites This graph shows the basecase and net zero life cycle cost totalled up over a 25 year analysis period. In all cases the net zero costs more than the basecase. But what is surprising to me is how close they are. It’s only about 20% more expensive to go net zero according to these estimates.This graph shows the basecase and net zero life cycle cost totalled up over a 25 year analysis period. In all cases the net zero costs more than the basecase. But what is surprising to me is how close they are. It’s only about 20% more expensive to go net zero according to these estimates.
49. 49 REO Example: Minimize Life Cycle CostUS Navy San Nicolas Island CA I thought you would be interested in this island example where the renewables would displace diesel fuel barged in from Los Angeles. Wind Energy is a big part of the solution but notice how these other renewable energy technologies can serve their loads at a lower cost, such as daylighting for example. There was no set goal regarding percent of renewables in this example so you can see there is still a lot of JP5 (diesel fuel) in the renewable energy case. Of the $23 million dollar investment to implement this solution, about $10million was associated with the battery plant. So we also evaluated a case without batteries that still shows substantial reductions in fuel use, about half in fact. The reason the total amount of energy is not the same in all cases is due to the fact that the renewables do not involve waste heat from the generator power plant, which is where most of the basecase fuel energy goes unfortunately. I thought you would be interested in this island example where the renewables would displace diesel fuel barged in from Los Angeles. Wind Energy is a big part of the solution but notice how these other renewable energy technologies can serve their loads at a lower cost, such as daylighting for example. There was no set goal regarding percent of renewables in this example so you can see there is still a lot of JP5 (diesel fuel) in the renewable energy case. Of the $23 million dollar investment to implement this solution, about $10million was associated with the battery plant. So we also evaluated a case without batteries that still shows substantial reductions in fuel use, about half in fact. The reason the total amount of energy is not the same in all cases is due to the fact that the renewables do not involve waste heat from the generator power plant, which is where most of the basecase fuel energy goes unfortunately.
50. 50 119 Land Ports of Entry
51. 51 New: Monthly REO (example) Consider 2,200,000 sf office building, 12 floors
Washington DC Climate, Utility Rates, Incentives
52. 52 Photovoltaics Details
53. 53
54. 54 Monthly REO Executive Summary
55. 55 It's so much easier to suggest solutions when you don't know too much about the problem. - Malcolm Forbes Thank You!