Energy balance in Stuttgart

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Question

What are the amounts of energy produced, consumed, imported, and exported in Stuttgart?

Answer

• A model run with default values

Rationale

There are several energy transformations that each describe a specific process of energy production or use. Per unit activity, there is a constant amount of different inputs and outputs into and from this process, respectively. These unit processes are used for Stuttgart in such a way that one critical input or output from each relevant energy transformation is listed here; all other inputs and outputs logically follow from the nature of the transformation process.

Data

You have error(s) in your data:

You have invalid number of data cells in row 2
You have invalid number of data cells in row 3
You have invalid number of data cells in row 4
You have invalid number of data cells in row 5
You have invalid number of data cells in row 6
You have invalid number of data cells in row 7

Energy balance in Stuttgart(-)

Obs	Equation	Col	Result	Description
1	Balance CHP Plants	CHP peat	-1	In energy balance, inputs and outputs cancel out
2
3
4
5
6
7
8	Fraction CHP electricity	CHP electricity	2.852	(977.7+244.6)/428.6 Others divided by electricity
9	Balance H Plants	H biogas	-1	In energy balance, inputs and outputs cancel out.
10	Balance H Plants	H oil	-1
11	Balance H Plants	H heat	1
12	Balance H Plants	H loss	1
13	Fraction H biogas	H oil	-1	Amount of oil is used as comparison for biogas
14	Fraction H biogas	H biogas	18.973	70.2/3.7 Oil divided by biogas
15	Fraction H loss	H heat	-1	Amount of heat is used as comparison for loss.
16	Fraction H loss	H loss	14.082	69/4.9 Heat per loss
17	Balance Industrial Plants	Ind peat	-1	In energy balance, inputs and outputs cancel out.
18	Balance Industrial Plants	Ind oil	-1
19	Balance Industrial Plants	Ind renewable	-1
20	Balance Industrial Plants	Ind electricity	1
21	Balance Industrial Plants	Ind process heat	1
22	Balance Industrial Plants	Ind loss	1
23	Fraction Industrial peat	Ind oil	-1	Sum of other fuels is used as comparison for peat.
24	Fraction Industrial peat	Ind renewable	-1
25	Fraction Industrial peat	Ind peat	2.014	(82.4+527.8)/303 Others divided by peat.
26	Fraction Industrial oil	Ind peat	-1
27	Fraction Industrial oil	Ind renewable	-1
28	Fraction Industrial oil	Ind oil	10.083	(303+527.8)/82.4 Others divided by oil.
29	Fraction Industrial electricity	Ind process heat	-1	Sum of other fuels is used as comparison for electricity
30	Fraction Industrial electricity	Ind loss	-1	Heat loss = 104 = 303+82.4+527.8-123.8-685.4
31	Fraction Industrial electricity	Ind electricity	6.376	(685.4+104)/123.8
32	Fraction Industrial process heat	Ind electricity	-1	Sum of other fuels is used as comparison for process heat.
33	Fraction Industrial process heat	Ind loss	-1
34	Fraction Industrial process heat	Ind process heat	0.332	(123.8+104)/685.4 Sum of other products divided by process heat.
35	Fraction heat producers	H heat	-1	CHP heat production is used as reference
36	Fraction heat producers	CHP heat	0.08	This number is based on guesswork.
37	Transmission loss electricity	Loss electricity	1	Known loss divided by production
38	Transmission loss electricity	CHP electricity	-0.0858	47.4/(428.6+123.8)
39	Transmission loss electricity	Ind electricity	-0.0858
40	Transmission loss heat	Loss heat	1	Known loss divided by production
41	Transmission loss heat	CHP heat	-0.0855	89.5/(977.7+69)
42	Transmission loss heat	Ind process heat	-0.0855
43	Electricity use balance	Bought electricity	-1	In energy balance, inputs and outputs cancel out.
44	Electricity use balance	CHP electricity	-1
45	Electricity use balance	Ind electricity	-1
46	Electricity use balance	Loss electricity	1
47	Electricity use balance	Cons Home electricity	1
48	Electricity use balance	Cons Ind electricity	1
49	Electricity use balance	Cons Commerce electricity	1
50	Electricity use balance	Cons Municip electricity	1
51	Heat use balance	CHP heat	-1	In energy balance, inputs and outputs cancel out.
52	Heat use balance	H heat	-1
53	Heat use balance	Loss heat	1
54	Heat use balance	Cons Home heat	1
55	Heat use balance	Cons Ind heat	1
56	Heat use balance	Cons Commerce heat	1
57	Heat use balance	Cons Municip heat	1
58	Consumed industrial process heat	Ind process heat	1	This must be given.
59	Consumed electricity home	Cons Home electricity	1	This must be given.
60	Consumed electricity industry	Cons Ind electricity	1	This must be given.
61	Consumed electricity commerce	Cons Commerce electricity	1	This must be given.
62	Consumed electricity municipality	Cons Municip electricity	1	This must be given.
63	Consumed heat home	Cons Home heat	1	This must be given.
64	Consumed heat industry	Cons Ind heat	1	This must be given.
65	Consumed heat commerce	Cons Commerce heat	1	This must be given.
66	Consumed heat municipality	Cons Municip heat	1	This must be given.

A data table on an Opasnet page is used to enter the matrix data. This is rather user friendly. As a side effect, the table does not look like a matrix so it might be confusing in the beginning. The matrix is created by using the "Equation" as information about the row of the matrix and "Col" as information about the column of the matrix. "Result" is the actual value, and Description is anything useful for a reader (it is not used in calculations).

Formula

Amount of renewable fuels compared with peat (may be over 1): Consumption of process heat produced by industry itself: Consumption of electricity by households: Consumption of electricity by industry: Consumption of electricity by commerce: Consumption of electricity by municipality: Consumption of district heat by households: Consumption of district heat by industry: Consumption of district heat by commerce: Consumption of district heat by municipality: + Show code- Hide code library(OpasnetUtils) library(xtable) dependencies <- data.frame(Name = c( "Frac_CHP_renew", "Ind_process_heat", "Cons_Home_electricity", "Cons_Ind_electricity", "Cons_Commerce_electricity", "Cons_Municip_electricity", "Cons_Home_heat", "Cons_Ind_heat", "Cons_Commerce_heat", "Cons_Municip_heat" ), Key = "k5NNrR2Q0VCJharl") formula <- function(dependencies, ...) { ComputeDependencies(dependencies, ...) ## Define the energy transformation matrix ETM. # Get the data from Opasnet Base. ETM <- tidy(op_baseGetData("opasnet_base", "Op_en5469"), objname = "ETM", direction = "wide") # Add user-defined data to it. additions <- data.frame( Equation = "Fraction CHP renewable", Col = "CHP peat", ETMResult = Frac_CHP_renew, ETMDescription = "Renewable amount divided by peat. BAU: 78.1/1435.7 = 0.0544 Actual number given by user." ) ETM <- rbind(ETM, additions) # Reshape the table to make a matrix, and replace NA with 0. ETM <- reshape(ETM, timevar = "Col", idvar = "Equation", v.names = "ETMResult", direction = "wide") colnames(ETM) <- gsub("ETMResult.", "", colnames(ETM)) print(xtable(ETM), type = 'html') # Show the matrix with explanations. ETM <- as.matrix(ETM[, !colnames(ETM) %in% c("Equation", "ETMDescription")]) for(i in 1:ncol(ETM)) { ETM[is.na(ETM[, i]), i] <- 0 } # Define the outputs for equations (for most equations, it is a zero sum game). out <- c(rep(0, 18), # Define the consumptions (and other known variables). Ind_process_heat, Cons_Home_electricity, Cons_Ind_electricity, Cons_Commerce_electricity, Cons_Municip_electricity, Cons_Home_heat, Cons_Ind_heat, Cons_Commerce_heat, Cons_Municip_heat ) out <- solve(ETM, out) # Solve the matrix. out <- data.frame(Energy.class = colnames(ETM), Result = out) return(out) } energy.balance.Kuopio <- new("ovariable", name = "energy.balance.Kuopio", output = formula(dependencies) ) print(xtable(energy.balance.Kuopio@output), type = 'html') #temp <- EvalOutput(energy.balance.Kuopio) #print(xtable(temp@output), type = 'html') objects.put(energy.balance.Kuopio) # Ind_process_heat, # Cons_Home_electricity, # Cons_Ind_electricity, # Cons_Commerce_electricity, # Cons_Municip_electricity, # Cons_Home_heat, # Cons_Ind_heat, # Cons_Commerce_heat, # Cons_Municip_heat #) cat("Object energy.balance.Kuopio saved. Write down the key of the model run page for further use.\n")

The model first creates the matrix and shows it to the user, and then it fills all empty cells with 0 and solves it by using the input values the user has given via the user interface. (The user interface can later be replaced by another model.) All the current input values are final consumptions, and the default values are based on the Kuopio data.

See also

• For calculations based on these data, see Energy balance.
• About large systems of non-linear equations: BB package in R

Urgenche research project 2011 - 2014: city-level climate change mitigation

Urgenche pages Urgenche main page · Category:Urgenche · Urgenche project page (password-protected) Relevant data Building stock data in Urgenche‎ · Building regulations in Finland · Concentration-response to PM2.5 · Emission factors for burning processes · ERF of indoor dampness on respiratory health effects · ERF of several environmental pollutions · General criteria for land use · Indoor environment quality (IEQ) factors · Intake fractions of PM · Land use in Urgenche · Land use and boundary in Urgenche · Energy use of buildings Relevant methods Building model · Energy balance · Health impact assessment · Opasnet map · Help:Drawing graphs · OpasnetUtils‎ · Recommended R functions‎ · Using summary tables‎ City Kuopio Climate change policies and health in Kuopio (assessment) · Climate change policies in Kuopio (plausible city-level climate policies) · Health impacts of energy consumption in Kuopio · Building stock in Kuopio · Cost curves for energy (prioritization of options) · Energy balance in Kuopio (energy data) · Energy consumption and GHG emissions in Kuopio by sector · Energy consumption classes (categorisation) · Energy consumption of heating of buildings in Kuopio · Energy transformations (energy production and use processes) · Fuels used by Haapaniemi energy plant · Greenhouse gas emissions in Kuopio · Haapaniemi energy plant in Kuopio · Land use in Kuopio · Building data availability in Kuopio · Password-protected pages: File:Heat use in Kuopio.csv · Kuopio housing City Basel Buildings in Basel (password-protected) Energy balances Energy balance in Basel · Energy balance in Kuopio · Energy balance in Stuttgart · Energy balance in Suzhou

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