Nomenclature and Abbreviations

General:

_com

community

_pot

potential

_base

values for current situation

Data type:

df

dataframe

ds

dataseries

list

list

Energy flows:

d

demand

m

import

u

technology input

v

technology output

l

losses

s

supply

src

source

Technologies:

_pv

solar photovoltaic

_solar

solar thermal

_wp

wind power

_grid

grid supply (electricity)

_hp

heat pump

_eh

electric heater

_ob

oil boiler

_wb

wood boiler

_gb

gas boiler

_dh

district heating

_tes

thermal energy storage

_bes

battery energy storage

_hydro

hydro power

_bm

biomass (collective)

_hg

hydrothermal gasification

_agu

anaerobic digestion upgrade

_aguh

anaerobic digestion upgrade hydrogen

_aguc

anaerobic digestion CHP

_wgu

wood gasification upgrade

_wguh

wood gasification upgrade hydrogen

_wguc

wood gasification CHP

_hydp

hydrogen production

_chpgt

CHP gas turbine

_gtcp

gas turbine (central plant)

_st

steam turbine

_wbcp

wood boiler (central plant)

_wte

waste-to-energy plant

_hpcp

heat pump (central plant)

Technology parameters:

_p

system size (kW or kWp)

sos

state of storage (-)

_q

energy level, e.g. in storage (kWh)

Energy carriers:

_h

heat

_e

electricity

_gas

gas

_oil

oil

_wd

wood

_msw

municipal solid waste

_bm

biomass

_steam

steam

Emission carriers:

_co2

CO2 (kg)

Time resolution:

_hr

hourly (mostly omitted)

_yr

annual

**Aggregation resolution:**|

_bdg

building level

Iteration indeces:

_t

time

Examples:

u_e_hp

electricity input to heat pump (kWh)

v_h_hp

heat output from heat pump (kWh)

d_e_yr

annual electricity demand (kWh)