Newcastle DC poster final 20171111 - Microgrid Symposium...

1
1 i,*,P P \ ,'\ I I I E^ o 0 2700 360' t0 <x l*u --N 0 F- Daniel Gerber, Vagelis Vossos, Wei Feng, Richard Brown, Aditya Khandekar, Bruce Nordman & Chris Marnay Lawrence Berkeley National Laboratory We thank U.S. DOE and CEC for supporting this work! Direct-DC Loads 380 V ≈ 380 V 380 V 380 V High Voltage DC Loads 380 V 380 V Low Voltage DC Loads 48 V 1 2 4 3 120/208 V 120 V 48 V ≈ 380 V 120 V 120/208 V 120/208 V Low Voltage DC Loads 120/208 V 380 V High Voltage DC Loads Native-DC Loads 1 2 3 3 Voltage Domains: 120V AC, 48V DC, 380V DC 1.MPPT Inverter 2.Battery Inverter 3.Load Packaged Rectifier 1.MPPT 2.Charge Controller 3.Grid Tie Inverter 4.DC Distribution Converter AC vs. DC Motivation new California residential buildings to be ZNE by 2020 all commercial buildings by 2030 solar PV generation, batteries, and most loads natively DC many efficient DC devices should be encouraged less power quality problems & improved reliability-resilience with DC islanding microgrid buildings facilitated by DC Research Goal use Modelica simulations to determine efficiency improvements estimate economic benefits of DC distribution model medium size Los Angeles office and other buildings include realistic profiles for solar output and load use converter efficiency curves, and detailed battery and wiring models Modelica object oriented modeling language with GUI provided by Dymola popular for building, automotive, and other engineering simulation useful for complex systems that include mixed electrical, thermal, etc. the building power we’re all accustomed to has huge advantage of easy voltage changes enables long distance transmission with local safety voltage and current cycles at fixed frequency when working well, energy is always being delivered approach is closely related to rotating generators has many power quality problems, e.g., power factor has few advantages at end-use, but induction motors end-use rectification to DC common and increasingly efficient the vehicle power we’re all accustomed to many efficient DC loads (LEDs, variable speed motors, etc.) many power sources (PV, batteries) also DC less losses and power quality issues with all DC distribution simpler systems should be cheaper, more reliable & resilient creates a favorable environment for PV integration & EVs EVs and heat pump heating/cooling are significant DC loads safety and other standards needed and a formidable barrier easy connection to electronics permits smart distribution Alternating Current Direct Current eu!L Experimental and Field Testing experimentally estimate efficiency savings of identical AC vs. DC networks verify the savings of removing the rectification stage in various loads design and construct a DC microgrid, meter and measure the savings collaborate with DC demonstrations in Europe and Asia Analysis and Modeling develop a generic DC efficiency modeling tool for commercial use improve the techno-economic analysis and create future projection models develop advanced control algorithms for load shedding in DC buildings study the non-energy benefits of DC for power quality, resiliency, etc. IBEW ZNE Building, San Leandro CA baseline baseline Efficiency data from product curves Medium Los Angeles Office Building DOE Reference Building DOE Reference Building Model of Medium Office in Los Angeles, CA Parametric Experiments solar Experiment – baseline is amount of solar capacity needed to power a ZNE building battery experiment – baseline is half the amount of battery capacity needed for a ZNE building to store all daily excess solar (= generation – load) Efficiency Results 12% baseline efficiency savings with DC DC is more efficient with high solar and battery capacity Loss Analysis AC building loss is dominated by the poor efficiency of load packaged rectifiers (wall adapters) AC buildings with lots of storage see loss in the battery inverter DC building loss dominated by the grid tie inverter particularly heinous with high solar capacity and no storage (fourth pair of bars at left) both buildings suffer significant battery chemical loss Techno-Economic Analysis results determined from market cost data, grid tariffs, and Monte-Carlo analysis first cost is higher for DC given the enormous efficiency savings, the payback period is less than a year end use costs, installation costs, and other soft costs not considered in techno-economic analysis The DC analysis model is used to scope the feasibility of DC distribution in a ZNE office building. The simulations are run with actual solar and load profile data, along with precise building wiring. ABBREVIATIONS & ACRONYMS: CEC – California Energy Committion EV – electric vehicle GUI – graphical user interface LCC – life cycle cost U.S. DOE – U.S. Department of Energy ZNE – zero net energy AC Product Weighted Efficiency String Inverter 96.0% Battery Inverter 92.1% Low Power Rectifier 89.9% High Power Rectifier 90.8% AC LED Driver 90.2% DC Product Weighted Efficiency Power Optimizer 99.4% MPPT Chg. Controller 98.5% DC-DC Transformer 97.6% Grid Tie Inverter 96.6% DC LED Driver 95.6% All DC floor in the XingYe HQ building in Zhuhai, China Research Objective research & demonstrate technical viability of DC building distribution focus on low (< 600) voltage DC in commercial buildings direct integration of renewable sources and batteries simulate and measure potential energy efficiency & economic benefits evaluate communication opportunities

Transcript of Newcastle DC poster final 20171111 - Microgrid Symposium...

Page 1: Newcastle DC poster final 20171111 - Microgrid Symposium smicrogrid-symposiums.org/wp-content/uploads/2017/07/...Power Optimizer 99.4% MPPT Chg.Controller 98.5% DC-DC Transformer 97.6%

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Daniel Gerber, Vagelis Vossos, Wei Feng, Richard Brown,Aditya Khandekar, Bruce Nordman & Chris Marnay

Lawrence Berkeley National LaboratoryWe thank U.S. DOE and CEC for supporting this work!

Direct-DC Loads

380 V

≈ 380 V 380 V

380 V

High Voltage

DC Loads

380 V

380 V

Low Voltage

DC Loads 48 V

1

2

4

3

120/208 V

120 V 48 V

≈ 380 V 120 V 120/208 V

120/208 V

Low Voltage

DC Loads

120/208 V 380 V

High Voltage

DC Loads

Native-DC Loads

1

2

3

3

VoltageDomains:120VAC,48VDC, 380VDC

1.MPPTInverter2.BatteryInverter3.LoadPackagedRectifier

1.MPPT2.ChargeController3.GridTieInverter4.DCDistributionConverter

AC vs. DC Motivation• new California residential buildings to be ZNE by 2020• all commercial buildings by 2030• solar PV generation, batteries, and most loads natively DC• many efficient DC devices should be encouraged• less power quality problems & improved reliability-resilience with DC • islanding microgrid buildings facilitated by DC

Research Goal• use Modelica simulations to determine efficiency improvements• estimate economic benefits of DC distribution• model medium size Los Angeles office and other buildings• include realistic profiles for solar output and load• use converter efficiency curves, and detailed battery and wiring models

Modelica• object oriented modeling language with GUI provided by Dymola• popular for building, automotive, and other engineering simulation• useful for complex systems that include mixed electrical, thermal, etc.

▷ the building power we’re all accustomed to▷ has huge advantage of easy voltage changes▷ enables long distance transmission with local safety▷ voltage and current cycles at fixed frequency▷ when working well, energy is always being delivered▷ approach is closely related to rotating generators▷ has many power quality problems, e.g., power factor▷ has few advantages at end-use, but induction motors▷ end-use rectification to DC common and increasingly efficient

▷ the vehicle power we’re all accustomed to▷ many efficient DC loads (LEDs, variable speed motors, etc.) ▷ many power sources (PV, batteries) also DC▷ less losses and power quality issues with all DC distribution▷ simpler systems should be cheaper, more reliable & resilient▷ creates a favorable environment for PV integration & EVs▷ EVs and heat pump heating/cooling are significant DC loads ▷ safety and other standards needed and a formidable barrier▷ easy connection to electronics permits smart distribution

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Experimental and Field Testing• experimentally estimate efficiency savings of identical AC vs. DC networks• verify the savings of removing the rectification stage in various loads• design and construct a DC microgrid, meter and measure the savings• collaborate with DC demonstrations in Europe and Asia

Analysis and Modeling• develop a generic DC efficiency modeling tool for commercial use• improve the techno-economic analysis and create future projection models• develop advanced control algorithms for load shedding in DC buildings• study the non-energy benefits of DC for power quality, resiliency, etc.

IBEW ZNE Building,San Leandro CA

baseline baseline

Efficiencydatafromproductcurves

MediumLosAngelesOfficeBuildingDOEReferenceBuilding

DOE Reference Building Model of Medium Office in Los Angeles, CAParametric Experiments• solar Experiment – baseline is amount of solar capacity needed

to power a ZNE building• battery experiment – baseline is half the amount of battery

capacity needed for a ZNE building to store all daily excess solar (= generation – load)

Efficiency Results• 12% baseline efficiency savings with DC• DC is more efficient with high solar and battery capacity

Loss Analysis• AC building loss is dominated by the poor efficiency of load

packaged rectifiers (wall adapters)• AC buildings with lots of storage see loss in the battery inverter• DC building loss dominated by the grid tie inverter• particularly heinous with high solar capacity and no storage

(fourth pair of bars at left)• both buildings suffer significant battery chemical loss

Techno-Economic Analysis• results determined from market cost data, grid tariffs, and

Monte-Carlo analysis• first cost is higher for DC• given the enormous efficiency savings, the payback period is

less than a year• end use costs, installation costs, and other soft costs not

considered in techno-economic analysis

The DC analysis model is used to scope the feasibility of DC distribution in a ZNE office building. The simulations are run with actual solar and load profile data, along with precise building wiring.

ABBREVIATIONS & ACRONYMS:

CEC – California Energy CommittionEV – electric vehicleGUI – graphical user interfaceLCC – life cycle costU.S. DOE – U.S. Department of EnergyZNE – zero net energy

AC ProductWeighted Efficiency

String Inverter 96.0%

Battery Inverter 92.1%

Low Power Rectifier 89.9%

High Power Rectifier 90.8%

AC LED Driver 90.2%

DC Product Weighted Efficiency

Power Optimizer 99.4%

MPPT Chg. Controller 98.5%

DC-DC Transformer 97.6%

Grid Tie Inverter 96.6%

DC LED Driver 95.6%

All DC floor inthe XingYe HQ building in Zhuhai, China

Research Objective

▷ research & demonstrate technicalviability of DC building distribution

▷ focus on low (< 600) voltage DC in commercial buildings

▷ direct integration of renewable sources and batteries

▷ simulate and measure potential energy efficiency & economic benefits

▷ evaluate communication opportunities